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Paper Citation Record · LEDGER

Branch2Skill: Efficient Skill Evolution Through Reasoning Trees

As of 16 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 2026-08-16T06:30:59.297886+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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.546061Z digest=sha256:253e1a9d306ac882fcac7d34bc501075b9465c123c4f5b439c49b7a07f9b34b9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:16.557448Z digest=sha256:4a367eedc6e4253df0f531362fd7cdb5f5c93bda13a33ce70dd2b98988468a65

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.576561Z digest=sha256:7c6f04ec6bcf4c576a7b9160f8ba5a3498fa4ac3521e60d8c0a5ee6fd6cc130c

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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verified exact
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.617055Z digest=sha256:f499e5872f99568b114412d80c61e62c089249b0facaa8e63471052fdd6be535

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:16.642190Z digest=sha256:f742b727106b772d3596d7cd3be0634a5590cf518ee7b549a1971c9a6ce67087

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

Resolution
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no resolver link, observed 2026-08-14T04:32:16.684753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:16.684753Z digest=sha256:e3bbb9ed8798375ed74ba2a9c9a1a81734b9cd438d383e0af1fc1dde0b04c13b

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

Resolution
verified exact
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.704964Z digest=sha256:39f66e47e8aebbef6e637c462ed9baa8a89158eaaf51602376d504db08c27c91

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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raw_fallback, observed 2026-08-14T04:32:18.307646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.734532Z digest=sha256:53d0ba4a1fac5fca276b940cfc824a19ffa8749d5b4e5b7bef10a0cce0243348

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:f911e1f1949f4561d3188d6d7c816007aaa1ba1be505bc38ebd7507a237db1e6

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

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.787324Z digest=sha256:433f68fbd46ffd729a5c1bb697db97c4221700b1f33ddbdd2f11ef5f3a2abe37

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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verified fuzzy
raw_fallback, observed 2026-08-14T04:32:18.264176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.814838Z digest=sha256:56a25952b8072e3113496ccc7510382ed784330f84797805946faa89b19082d6

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.839947Z digest=sha256:17f3c7357b6640bae752bda71a663f46c32adb3ba2b826bde0e6c40f5a32d862

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.874771Z digest=sha256:bedb1ef9839c0e3906daa1d79d7b54c7b83240422a51ccf371b2ae8545a56e23

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:16.929895Z digest=sha256:d51f84a2fbe0be748652760c6040023ee2969069e43276318f8c5ffe3e260ba7

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:f09302fce58bfa378f33d2fe27ed61f285a61cf8002e0080cd036638d885001b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.024736Z digest=sha256:f5edc7b0320c76f11ce7817f231068c632acdcb70247a04a42e26637aed29f48

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:cb8d5d3f4a0c17853e552922611750d779b5751b0342c19d9a9bd37837e073a6

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:d8ca2e039fb5fdfa281bdece5dd208175ecb875dd314a0f3bf017df397e74156

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.114471Z digest=sha256:333728c239ba02f255cea98ce301a7850400999141f9b78f26bd20ad24528516

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

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.135814Z digest=sha256:c14c9c270acd44af7d57e4d04ddfdd12793f284e1704ec6ba20ef2173cb4da09

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=sha256:9de0858d831403283465827b1b43e8190942fc4083e86d88a182354edd799430

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

Resolution
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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.166118Z digest=sha256:febc5959eee3b0cd5ddcf32bef5eca02b34fdd9ab104e5f6c62d4b33dbe179a5

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:f57096c135e4892fdda84c69a0fdba74ec28dceb41b97db931bdbe5722e9f098

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.197177Z digest=sha256:279640a56bc9923560bbf1fe71d95ad14677338068b4efafc7e2ece057010cf0

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.205629Z digest=sha256:9d8abece84910b071943800bffcdb1bb8d03d6cfe711fbbe94900275c009dd31

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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no resolver link, observed 2026-08-14T04:32:17.233775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.233775Z digest=sha256:57a1e4fae0c4043ae23cf631b30cf5c1dc18c85237712aafa218eda35ce358d7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.251425Z digest=sha256:f1d70eb11c17e29f95926a921af9d9f3b5a7dc4c7f0bc39556c9743af3930c56

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.285802Z digest=sha256:6b540dc3dd647499ab44a9b55de5b10642b61dbe022e665b33d800d621fb805b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.297721Z digest=sha256:11ed7d87c9d6aaa703faaeee829b072dbec26403281e6802b69b219e32fe141c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.303518Z digest=sha256:98d0c7020c67bed14180ac66fa633091bfdd8db492d27a616b06837f2fdfcc6a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.314755Z digest=sha256:282c2ab62d9ba07c7c8cedd39add52844587e4ae05e28e86aaf9dda621add8d9

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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no resolver link, observed 2026-08-14T04:32:17.319543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:17.319543Z digest=sha256:caf48d6ff9c89486871a72c08e6fc9066a7a71e169da7a5876e8ec314ea5bcfb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.325446Z digest=sha256:e55a295748318296e52b0fd5ea2b22c2979a4a851ccd6cbb36499a1385ba6d0d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T04:32:17.339575Z digest=sha256:3f609d839853f3d15bc1a6d487144e4ab49917e261544edbadb55c33d9c78f59

Pith citing papers

No inbound Pith citation observations are available.