type stringclasses 2
values | harness stringclasses 1
value | id stringclasses 1
value | name stringclasses 1
value | message dict |
|---|---|---|---|---|
session | trackio | agent_run | Agent repro run 2026-08-03 00:19 UTC | null |
message | null | null | null | {
"role": "system",
"content": "Event",
"timestamp": 1785716386836
} |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 0 — Translator → Builder(RAG) pipeline (Sec 3.2 / 3.3)]\n# Claim 0 — Translator → Builder(RAG) pipeline (Sec 3.2 / 3.3)\n\n**Claim (verbatim):** \"AutoRPA's Translator agent (Section 3.2) converts hard-coded ReAct action trajectories into soft-coded RPA procedures, which th... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 1 fix — AutoRPA uses 12.8k vs 103.4k tokens on AndroidWorld]\n# Claim 1 fix — AutoRPA uses 12.8k vs 103.4k tokens on AndroidWorld\n\n## Claim (unredacted from verdicts.json)\nOn AndroidWorld with GPT-4.1, AutoRPA uses only 12.8k tokens versus 103.4k\ntokens for the ReAct ba... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 1 — AutoRPA reduces token usage vs ReAct]\n# Claim 1 — AutoRPA reduces token usage vs ReAct\n\n**Claim:** AutoRPA reduces token usage by 82%-96% compared to ReAct-style agents while maintaining task solving.\n\n**Proxy experiment (HF job `Edd16/6a5de210bee6ee1cf4ed2289`, nu... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 2 fix — AutoRPA uses 1.4k vs 9.2k tokens on MiniWoB++]\n# Claim 2 fix — AutoRPA uses 1.4k vs 9.2k tokens on MiniWoB++\n\n## Claim (unredacted from verdicts.json)\nOn MiniWoB++, AutoRPA consumes 1.4k tokens versus 9.2k for the ReAct baseline,\nwith comparable task success.\n... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 2 — Translator-builder converts ReAct actions to RPA via retrieval]\n# Claim 2 — Translator-builder converts ReAct actions to RPA via retrieval\n\n**Claim:** The translator-builder pipeline converts hard-coded ReAct actions into soft-coded RPA procedures via retrieval-augme... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 3 fix — AutoRPA reduces token usage by 82-96% across benchmarks]\n# Claim 3 fix — AutoRPA reduces token usage by 82-96% across benchmarks\n\n## Claim (unredacted from verdicts.json)\nAcross benchmarks, AutoRPA reduces token usage by 82%-96% relative to\nReAct-style baseline... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 4 — Component ablation: −Translator → 40.2%, −ReAct → 32.5%, full 51.7% (Table 3)]\n# Claim 4 — Component ablation: −Translator → 40.2%, −ReAct → 32.5%, full 51.7% (Table 3)\n\n**Claim (verbatim):** \"An ablation shows removing the Translator component drops success rate to... |
message | null | null | null | {
"role": "assistant",
"content": "[Claim 5 — Verification with hybrid repair; code-only repair → 45.5% (Table 3, Sec 3.4)]\n# Claim 5 — Verification with hybrid repair; code-only repair → 45.5% (Table 3, Sec 3.4)\n\n**Claim (verbatim):** \"A verification phase using hybrid repair (code execution plus ReAct fallbac... |
message | null | null | null | {
"role": "assistant",
"content": "[Reproducing RbGLc4sk9s (AutoRPA, ICML 2026)]\n# Reproducing RbGLc4sk9s (AutoRPA, ICML 2026)\n\nPaper **RbGLc4sk9s** investigates whether automatically generated RPA procedures can reduce token usage and time cost compared with ReAct-style agents on GUI tasks. I reproduced this as... |
message | null | null | null | {
"role": "system",
"content": "Event",
"timestamp": 1785716386836
} |
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