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Paper Citation Record · LEDGER

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.08677.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.08677 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:17.339575Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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  • verified fuzzy16
  • unresolved15
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1775163b-4b2b-4fb5-abd2-c591d1ff52a1 · outbound

This paper cites Gepa: Reflective prompt evolution can outper- form reinforcement learning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Gepa: Reflective prompt evolution can outper- form reinforcement learning

Reference 1

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raw_fallback, observed 2026-08-14T04:32:18.343946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e6ca8fde-64e8-49a0-9187-ba6ce4cbd6d3 · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 2

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source=pdf_text observed=2026-08-14T04:32:16.557448Z digest=sha256:be1d36abebebb390d1794c0fbcd15b3f7f8d892b401b2117c4922d99486ac52e

Observation 1e7a9fc9-f939-488f-9a9b-adde44812657 · outbound

This paper cites Step-level value preference optimization for mathematical reasoning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Step-level value preference optimization for mathematical reasoning

Reference 3

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raw_fallback, observed 2026-08-14T04:32:18.325347Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.576561Z digest=sha256:507d2710b965f44d7f0ebe2fa5226fc03e95575484dcc2df397e4ab360a689b9

Observation f1e51ecd-d254-4fb5-9d99-3570b214e5e6 · outbound

This paper cites SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM Agents.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillCAT: Contrastive, Assessment-Augmented and Topology-AwareSkill Self-Evolution for LLM Agents

Reference 4

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local_arxiv, observed 2026-08-14T04:32:17.837382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.617055Z digest=sha256:6b9ec48b53535e4c5dc7514d3684a3008e9c26b27b3d163cc81c820f7f076b83

Observation cf9cdc56-b296-4a7a-8fc2-38cb499f61fa · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 5

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source=pdf_text observed=2026-08-14T04:32:16.642190Z digest=sha256:cd89bbf9ed1ce29e43931888595265372a2b3c762394342b6010198f8a79ca26

Observation 01f1a494-c3c5-4187-94f8-f0bb1a6ad4cf · outbound

This paper cites Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:16.684753Z digest=sha256:219ea273827c8d42996cc76711d0f872ed2a5f6b9ae8691541fca1e14f662495

Observation 0fb36e48-1be1-42b1-8fa0-7c289d50bd5e · outbound

This paper cites Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning

Reference 7

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local_arxiv, observed 2026-08-14T04:32:17.759499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.704964Z digest=sha256:7bd5df5e1b4549e2c0bbe7357d2549e962837b4c3584d3b95687124d92b3eecc

Observation d2dc95e5-ce4a-4926-a663-00456e0bef3f · outbound

This paper cites Olympiadbench: A challenging bench- mark for promoting agi with olympiad-level bilingual multimodal scien- tific problems.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Olympiadbench: A challenging bench- mark for promoting agi with olympiad-level bilingual multimodal scien- tific problems

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.734532Z digest=sha256:02b88c0db1175bc7ca0d2de44afb83dca4deefbb2ec723b97c86bde278fcc840

Observation 60709784-c637-4feb-a97b-60059476a57b · outbound

This paper cites Livemathematicianbench: A live benchmark for mathematician-level reasoning with proof sketches.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Livemathematicianbench: A live benchmark for mathematician-level reasoning with proof sketches

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:16.759173Z digest=sha256:379f6f19a270f611132b3f7066045a5455921ac8036dbfdc13a4298fe1126e60

Observation be9a836d-7b1e-47cf-ba86-15a98bc572ec · outbound

This paper cites Advancing process verification for large language models via tree-based preference learning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Advancing process verification for large language models via tree-based preference learning

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-14T04:32:18.284521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.787324Z digest=sha256:d26cea33dfe7f0d09ef141c83ea40660233150443ce0bc7d6fb4076eb14f00a3

Observation 28f6dbe2-c708-4900-8c62-8c34bdfbe7b2 · outbound

This paper cites Bandit based monte-carlo plan- ning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Bandit based monte-carlo plan- ning

Reference 11

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.814838Z digest=sha256:1b6be2215a550ec42c13a8420030a40cc04aa276b2b604d20ec7570eefa25438

Observation e2efb5fd-7ab7-41b6-91f9-bf3933565003 · outbound

This paper cites Let’s verify step by step.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Let’s verify step by step

Reference 12

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raw_fallback, observed 2026-08-14T04:32:18.244983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.839947Z digest=sha256:345b878b1dc90b63998f7807160bcb347b9f3836c575b08eac71e1c611b3b6fd

Observation e5104509-e0e5-401d-9ad0-b24863cdb504 · outbound

This paper cites Openclaw-skill: Collective skill tree search for agentic large language models.arXiv preprint arXiv:2606.16774, 2026.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Openclaw-skill: Collective skill tree search for agentic large language models.arXiv preprint arXiv:2606.16774, 2026

Reference 13

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.874771Z digest=sha256:2ae04b4690fc981c8014529d725e4c81dfc6dc8687c89f1a2ee1dba161cd3a64

Observation 552124c0-9afc-4b6c-9d3e-0de758d4884c · outbound

This paper cites Learning from contrasts: Synthesizing reasoning paths from diverse search trajectories.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Learning from contrasts: Synthesizing reasoning paths from diverse search trajectories

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-14T04:32:18.227713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:16.929895Z digest=sha256:36d01a403506378a3955c1719ee91a099b2a3ab21c5055583b810c44e796da5e

Observation 99c55c20-6ce1-4ff4-b1cd-babeca12569e · outbound

This paper cites SkillGen: Verified Inference-Time Agent Skill Synthesis.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillGen: Verified Inference-Time Agent Skill Synthesis

Reference 15

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source=pdf_text observed=2026-08-14T04:32:16.973967Z digest=sha256:01a495374a1a528c9315241dcb4c07b8a6d4f6b7edb6b5802e9f69a22efe9466

Observation 85ab481d-546c-4c0b-ac3d-0fddf28b5f5c · outbound

This paper cites Spreadsheetbench: Towards challenging real world spreadsheet manipulation.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Spreadsheetbench: Towards challenging real world spreadsheet manipulation

Reference 16

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raw_fallback, observed 2026-08-14T04:32:18.209776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.024736Z digest=sha256:29c72866799a1d122073d86bd66310e4771682bbd23be5bbaf1029d308af21fd

Observation 27214777-c2e5-4e1f-8c1d-1b49efbef63a · outbound

This paper cites Docvqa: A dataset for vqa on document images.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Docvqa: A dataset for vqa on document images

Reference 17

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source=pdf_text observed=2026-08-14T04:32:17.045964Z digest=sha256:96a6c04354f925c7aaca18b08a316ac197ccb0f52efb23809e4235cef7cbbd44

Observation 4c949574-370c-40ba-aad3-7e938f3b2e9b · outbound

This paper cites Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 18

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source=pdf_text observed=2026-08-14T04:32:17.084753Z digest=sha256:e697937ac65f1d2c1e23d4ea3c7f8d9f30229514303a292a4eeb36a774fbbb2d

Observation af3a9460-08be-41d7-b98b-a05b98aa59e5 · outbound

This paper cites Officeqa pro: An enterprise benchmark for end-to-end grounded reasoning.CoRR, abs/2603.08655, 2026.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Officeqa pro: An enterprise benchmark for end-to-end grounded reasoning.CoRR, abs/2603.08655, 2026

Reference 19

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source=pdf_text observed=2026-08-14T04:32:17.114471Z digest=sha256:949031c3d3f2e4a2440efdf2418d35a3492e4fcfe126815229ee154c8a08e771

Observation 8fbe93e3-89b6-49bf-9678-e016ce9b8621 · outbound

This paper cites Sigma: Refining large language model rea- soning via sibling-guided monte carlo augmentation.Advances in Neural Information Processing Systems, 38:84265–84297, 2026.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Sigma: Refining large language model rea- soning via sibling-guided monte carlo augmentation.Advances in Neural Information Processing Systems, 38:84265–84297, 2026

Reference 20

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raw_fallback, observed 2026-08-14T04:32:18.165154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.135814Z digest=sha256:fef4dec646d73dfc6495d8cb45ace938900be405b90ace1562d0f77da42db949

Observation 3b22c988-c0b0-4516-b8f9-e301aee80a5d · outbound

This paper cites SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe

Reference 21

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source=pdf_text observed=2026-08-14T04:32:17.156007Z digest=sha256:eb87a8baeaff860f6ea31f53bbee0eb26be1379b626c20e276b7d1368472106e

Observation 151187cc-2eb1-4e7a-8747-845d5cd1c726 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Reflexion: language agents with verbal reinforcement learning

Reference 22

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raw_fallback, observed 2026-08-14T04:32:18.143359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.166118Z digest=sha256:49038ed0a43ef3b801dd3025863af84198cbff9bfd537f1ac9229d85e6067558

Observation d4e6f909-ca02-4ca1-9a40-a010cb044eac · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 23

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source=pdf_text observed=2026-08-14T04:32:17.177195Z digest=sha256:7e50e3b215c9f0c89c802664820215fdceb9f54ddb235c7c51cbe63864f0e35c

Observation 4d6beabb-2d6c-44e9-bf9a-61ab580df7d5 · outbound

This paper cites Mas- tering the game of go without human knowledge.Nature, 550(7676): 354–359, 2017.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Mas- tering the game of go without human knowledge.Nature, 550(7676): 354–359, 2017

Reference 24

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raw_fallback, observed 2026-08-14T04:32:18.116352Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.197177Z digest=sha256:734f4477eeca33200d5e4fe45b7775b01ee5b2fe1cfc077528ff0072d9c932b8

Observation 153c9118-e475-4dfb-b2d1-65eb9143be1a · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 25

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source=pdf_text observed=2026-08-14T04:32:17.205629Z digest=sha256:ca9225ce8d02ec07f74f2e61650b001f4087967af5a2d114c62e5b1aceb83d1e

Observation 7957fab6-b695-42d8-9765-82ce954c234f · outbound

This paper cites SkillGrad: Optimizing Agent Skills Like Gradient Descent.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillGrad: Optimizing Agent Skills Like Gradient Descent

Reference 26

Resolution
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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.233775Z digest=sha256:66f2e9343dc3222a908abe44de1d544631077cdc0426144232a95e3fc59cff3c

Observation 146cb929-687f-4edd-bda6-d8890045e363 · outbound

This paper cites Math-shepherd: Verify and reinforce llms step-by-step without human annotations.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Math-shepherd: Verify and reinforce llms step-by-step without human annotations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:32:18.056275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.251425Z digest=sha256:f042a37a37ccadec1f684f819f528670033fd4bc45998b825bd2b36d4e44ddfb

Observation 64ab86ce-663c-4109-b307-fe785b9c337b · outbound

This paper cites Buffer of thoughts: Thought- augmented reasoning with large language models.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Buffer of thoughts: Thought- augmented reasoning with large language models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:32:17.994142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.285802Z digest=sha256:dbd22792c21d5384bd4864a026fa7f3f1990f2ebb08120177440f3df98a2fdf8

Observation 2c2ae469-6676-4cfd-93a3-7b39433f20f8 · outbound

This paper cites SkillOpt: Executive Strategy for Self-Evolving Agent Skills.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Reference 29

Resolution
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no resolver link, observed 2026-08-14T04:32:17.297721Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.297721Z digest=sha256:ae4b6f1a052569c6d5328d4fab5e0b8ff39fd538c39e06ac36f3b44a818add4e

Observation bab1e169-dd7f-496a-9f43-920100b774b4 · outbound

This paper cites Tree of thoughts: Deliberate problem solv- ing with large language models.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Tree of thoughts: Deliberate problem solv- ing with large language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:32:17.975338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.303518Z digest=sha256:ec04f1ec76338ed03cd5ec151f76b6cb2e05ca1eeae2159dc9d046faed6a993c

Observation 84d93f89-7a0d-4ea9-b54a-97953d9026f1 · outbound

This paper cites SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.314755Z digest=sha256:6cec5e63da22606ae7e651373304dedc70d21cb74324575eaf48121f87181e5d

Observation 6a43b74d-b321-4cb4-99d9-146805f9c73b · outbound

This paper cites Optimizing generative ai by backpropagating language model feedback.Nature, 639(8055):609–616, 2025.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Optimizing generative ai by backpropagating language model feedback.Nature, 639(8055):609–616, 2025

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.319543Z digest=sha256:1d71dcec4e56754c164754fc38e5e8193a9c9cd00afee41fc0c7b501796e09f2

Observation f7638767-fe4a-4afe-af04-a7ff343d2ede · outbound

This paper cites Expel: Llm agents are experiential learners.Proceedings of the AAAI Conference on Artificial Intelligence, 38(17):19632–19642, 2024.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Expel: Llm agents are experiential learners.Proceedings of the AAAI Conference on Artificial Intelligence, 38(17):19632–19642, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:32:17.925767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.325446Z digest=sha256:c3e73bc2a26fb5ca1b4509ac56a1b9cf600a16edc971944726be27746eff963b

Observation bf0f7918-eb88-4e02-8fc1-04131c24fd24 · outbound

This paper cites Language agent tree search unifies reasoning, acting, and planning in language models.

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees Language agent tree search unifies reasoning, acting, and planning in language models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T04:32:17.884901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-14T04:32:17.339575Z digest=sha256:afc84ef0b7315266efdeab22503c42c57e7eaf5195936a3da3ca8b2c16e6fd06

Pith citing papers

No inbound Pith citation observations are available.