{ "experiment": "A1_patch_influence_matrix", "partial": false, "n_pairs_used": 300, "outdeg_quartile_thresholds": [ 6.548, 7.033, 8.014 ], "config": { "win": 4, "editwin": 1, "coll_thresh": 0.1, "limit": 0, "artifact": "tae_hrr_prepool_model.pt", "pairs_file": "spec_edit_corpus.jsonl", "edit_types": [ "word-swap", "entity-swap", "number-change" ] }, "influence_matrix_by_outdegree": { "q1": { "diag_change": 0.1233, "offdiag_change": 0.008, "offdiag_mass_frac": 0.061, "profile": { "-4": 0.0, "-3": 0.0, "-2": 0.0, "-1": 0.0103, "0": 0.1233, "1": 0.0651, "2": 0.0274, "3": 0.0, "4": 0.0 }, "far_change": 0.0061, "n": 2496 }, "q2": { "diag_change": 0.0373, "offdiag_change": 0.0162, "offdiag_mass_frac": 0.3021, "profile": { "-4": 0.0328, "-3": 0.0363, "-2": 0.0379, "-1": 0.0112, "0": 0.0373, "1": 0.0597, "2": 0.0373, "3": 0.0373, "4": 0.0093 }, "far_change": 0.0102, "n": 2312 }, "q3": { "diag_change": 0.1562, "offdiag_change": 0.0105, "offdiag_mass_frac": 0.0632, "profile": { "-4": 0.0139, "-3": 0.0, "-2": 0.0119, "-1": 0.0039, "0": 0.1562, "1": 0.0703, "2": 0.0273, "3": 0.0391, "4": 0.0212 }, "far_change": 0.0056, "n": 2228 }, "q4": { "diag_change": 0.1615, "offdiag_change": 0.0129, "offdiag_mass_frac": 0.074, "profile": { "-4": 0.009, "-3": 0.0172, "-2": 0.0106, "-1": 0.013, "0": 0.1615, "1": 0.1172, "2": 0.0312, "3": 0.0199, "4": 0.0086 }, "far_change": 0.0071, "n": 3292 }, "all": { "diag_change": 0.1233, "offdiag_change": 0.0119, "offdiag_mass_frac": 0.0883, "profile": { "-4": 0.0135, "-3": 0.0137, "-2": 0.0145, "-1": 0.01, "0": 0.1233, "1": 0.0817, "2": 0.0308, "3": 0.0231, "4": 0.0095 }, "far_change": 0.0072, "n": 10328 } }, "patch_types": { "oracle": { "mean_editshift": 0.1333, "mean_collateral": 0.0109, "exact_land_at_coll": 0.2733, "n": 300 }, "algebra": { "mean_editshift": 0.0578, "mean_collateral": 0.0116, "exact_land_at_coll": 0.0967, "n": 300 }, "ablate": { "mean_editshift": 0.0956, "mean_collateral": 0.0129, "exact_land_at_coll": 0.0133, "n": 300 }, "null": { "mean_editshift": 0.0, "mean_collateral": 0.0, "exact_land_at_coll": 0.01, "n": 300 } }, "verdict": { "q4_offdiag_mass_frac": 0.074, "q1_offdiag_mass_frac": 0.061, "all_offdiag_mass_frac": 0.0883, "null_jitter_editshift": 0.0, "null_jitter_collateral": 0.0, "FALSIFIER_strictly_localist": true, "PREREG_holographic_block_banded": false, "algebra_reproduces_oracle_partial": true, "label": "STRICTLY_LOCALIST" }, "notes": "offdiag_mass_frac = fraction of decode-change mass at output offsets != the edited slot's projected output position (window +-win plus far tail). NULL patch (h_i replaced by itself) gives the decoder/sampling jitter floor; subtract null_collateral before reading collateral as causal. ALGEBRA patch = R^p(E(w') + carried_c) using fitted prepool HRR artifact (honest skeleton + carried-c; no oracle re-encode of the answer). ORACLE lifts the gold slot state from a re-encoded one-word-edited sentence.", "examples": [ { "base": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", "gold": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Rome movement.", "edit": "Paris->Rome", "outdeg": 8.01, "quartile": "q4", "decode_base": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", "decode_oracle": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", "decode_algebra": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", "decode_ablate": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement." }, { "base": "She married musician Cary Deuber in 2008, and the couple had two sons together.", "gold": "She married musician Cary Deuber in 2009, and the couple had two sons together.", "edit": "2008->2009", "outdeg": 8.01, "quartile": "q4", "decode_base": "She married musician Cary Deuber in 2008, and the couple had two sons together.", "decode_oracle": "She married musician Cary Deuber in 2009, and the couple had two sons together.", "decode_algebra": "She married musician Cary Deuber in 2009, and the couple had two sons together.", "decode_ablate": "She married musician Cary Deuber in , and the couple had two sons together." }, { "base": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5-wicket win.", "gold": "His highest return came against the Kolkata Knight Riders, where he took 4/13 in a 5-wicket win.", "edit": "12->13", "outdeg": 8.42, "quartile": "q4", "decode_base": "His highest return came against Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", "decode_oracle": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", "decode_algebra": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", "decode_ablate": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory." }, { "base": "Meet your favorite racing heroes at the Motorsports Expo 2010!", "gold": "Meet your favorite racing heroes at the Motorsports Expo 2011!", "edit": "2010->2011", "outdeg": 8.01, "quartile": "q4", "decode_base": "Meet your favorite racing heroes at the Motorsports Expo 2010!", "decode_oracle": "Meet your favorite racing heroes at the Motorsports Expo 2011!", "decode_algebra": "Meet your favorite racing heroes at the Motorsports Expo 2010!", "decode_ablate": "Meet your favorite racing heroes at the Motorsports Expo!" }, { "base": "The deal, valued at approximately $4.2 billion, marks a significant shift in the ownership and operations of the popular 24-hour weather network.", "gold": "The deal, valued at approximately $5.2 billion, marks a significant shift in the ownership and operations of the popular 24-hour weather network.", "edit": "4->5", "outdeg": 8.42, "quartile": "q4", "decode_base": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", "decode_oracle": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", "decode_algebra": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", "decode_ablate": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network." }, { "base": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", "gold": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 401 years of classical music.", "edit": "400->401", "outdeg": 8.01, "quartile": "q4", "decode_base": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", "decode_oracle": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 401 years of classical music.", "decode_algebra": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", "decode_ablate": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 100 years of classical music." }, { "base": "The national picture is also bleak, with a 2019 survey by the UK's Department for Transport revealing a 5% decline in cycling activity since 2015.", "gold": "The national picture is also bleak, with a 2020 survey by the UK's Department for Transport revealing a 5% decline in cycling activity since 2015.", "edit": "2019->2020", "outdeg": 8.42, "quartile": "q4", "decode_base": "The national picture is also gloomy, with a 2019 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", "decode_oracle": "The national picture is also gloomy, with a 2020 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", "decode_algebra": "The national picture is also gloomy, with a 2019 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", "decode_ablate": "The national picture is also bleak, with a survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015." }, { "base": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", "gold": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 2,400 meters (4,600 feet).", "edit": "1->2", "outdeg": 8.42, "quartile": "q4", "decode_base": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", "decode_oracle": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", "decode_algebra": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", "decode_ablate": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet)." }, { "base": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", "gold": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 5:30.58 to take the gold medal.", "edit": "4->5", "outdeg": 8.42, "quartile": "q4", "decode_base": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", "decode_oracle": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", "decode_algebra": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", "decode_ablate": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal." }, { "base": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence.", "gold": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", "edit": "Paris->Rome", "outdeg": 8.01, "quartile": "q4", "decode_base": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence.", "decode_oracle": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", "decode_algebra": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", "decode_ablate": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence." }, { "base": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", "gold": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $21 billion in 2020.", "edit": "20->21", "outdeg": 8.42, "quartile": "q4", "decode_base": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", "decode_oracle": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", "decode_algebra": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", "decode_ablate": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020." }, { "base": "In 2011, Alford received a cryptic tip about a suspicious online marketplace, which he suspected might be linked to the Silk Road.", "gold": "In 2012, Alford received a cryptic tip about a suspicious online marketplace, which he suspected might be linked to the Silk Road.", "edit": "2011->2012", "outdeg": 8.42, "quartile": "q4", "decode_base": "In 2011, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", "decode_oracle": "In 2012, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", "decode_algebra": "In 2011, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", "decode_ablate": "In 2011 Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road." } ] }