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Paper Citation Record · LEDGER

Self-Discover: Large Language Models Self-Compose Reasoning Structures

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.03620.

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

pith.paper-citation-record.v1
2402.03620 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:04:00.331399Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a83be1ad-68dd-4ab9-b5d3-b4b679d61613 · inbound

Automated Design of Agentic Systems cites this paper.

Automated Design of Agentic Systems Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 238

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T08:07:54.952773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:efca5a8ef915d2348b7340b20499af492c17187b873f9d314a7c6eade46bb82a

Observation 70f8822e-be44-4590-ac39-11bbc2c7b985 · inbound

Capturing Sparks of Abstraction for the ARC Challenge cites this paper.

Capturing Sparks of Abstraction for the ARC Challenge Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T18:50:17.670607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:50:17.670607Z digest=sha256:5b0068dbc2a784baff0df8f98bdc8f9d5f2611216655efccf565ecbde9eb7e96

Observation bd867c76-5af3-4cfe-bfa8-59f37e39a56b · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 227

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:44.021768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:0d0dd7e564bbf8a1187952cf6120644f7f7328ab9a485355c59d5826953c2b6a

Observation 3d5b21ed-78f2-4202-bfe1-81f4ff37267b · inbound

Towards Adaptive Mechanism Activation in Language Agent cites this paper.

Towards Adaptive Mechanism Activation in Language Agent Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-12T05:09:48.008775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:09:48.008775Z digest=sha256:5a298e27d5f3efa84f90d4cac5c27515303649d5118ec5c020a48a84c98478cd

Observation 0464d609-0546-4789-bff1-a2d653934511 · inbound

Evaluating LLM Reasoning in the Operations Research Domain with ORQA cites this paper.

Evaluating LLM Reasoning in the Operations Research Domain with ORQA Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T06:01:13.455187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T06:01:13.455187Z digest=sha256:d453e5184be50f9ded71b9a040466332dbc3d349e5debc2cf6d22453a39a0203

Observation 105f376f-d1c1-40e2-b116-371c995e91e7 · inbound

Zero-Shot Verification-guided Chain of Thoughts cites this paper.

Zero-Shot Verification-guided Chain of Thoughts Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T17:51:25.484464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:51:25.484464Z digest=sha256:e0f1703a2f741afbf4b8ff8ecdd202953dde3f1fcd98d5dd636baf70fcef5671

Observation 0101401c-8145-41bd-b34f-a0eb96741df9 · inbound

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst cites this paper.

Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:23.423283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:23.423283Z digest=sha256:c30a6ffe9022348cf10b20310396c0ffbacf807fa98df7efaaf21da018c7b32f

Observation e67e8a53-bd98-4acd-991f-e98fa4efd42a · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:35.465699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:35.465699Z digest=sha256:daeb9294171c04c652669a4a5bcfd8bbde1250026d8b2c848d91889a959c677a

Observation 9e302e3c-d8e2-4fdd-bb80-18bc5bbe95df · inbound

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring cites this paper.

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:01.751432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:01.751432Z digest=sha256:3f62b8920525124d24ad2788fe7e98977b61ad3ec46c57a27065ffa22bc85ebb

Observation 4eb16f10-c343-4373-ba2f-85acbb9595a7 · inbound

LLMs for Customized Marketing Content Generation and Evaluation at Scale cites this paper.

LLMs for Customized Marketing Content Generation and Evaluation at Scale Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T19:04:00.331399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:04:00.331399Z digest=sha256:72bf9fb0ca3a6f9498a7017151c4ef7c37d5c90c7ace437ab5b7deafa433e42f

Observation 503b05a4-1b1c-42ec-ba52-92e8d3456453 · inbound

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies cites this paper.

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:51.175361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:16:51.175361Z digest=sha256:997188fc4b52b38a46e2c3f8de933a4908a0b54e25d1ba39f29ecc5eb95f8680

Observation 97b233d9-f78d-4ac3-9eae-ad87f6c1e3fa · inbound

Node-as-Agent: Graph Agentic Network cites this paper.

Node-as-Agent: Graph Agentic Network Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:24.313853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:24.313853Z digest=sha256:fe683a0fa62329e25bf58a1a2848f5a72814c68adf6f4c0b8b562634a58c46e0

Observation 231c2eee-baad-4489-b3a9-439442b98b5d · inbound

Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability cites this paper.

Teachers' Perceived Benefits and Risks of AI Across Fifty-Five Countries: An Audit of LLM Alignment and Steerability Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:01:29.057851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T01:23:47.674864Z digest=sha256:f3e23993289465c53663712bc9c7ff0ff92c8ab1e9d38cef6b5604d4c1853f6d

Observation 073cea93-9c01-4863-969d-7a7e9520ac0e · inbound

AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization cites this paper.

AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:56:13.957375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T00:55:52.965890Z digest=sha256:f87264f3c46a8f54852cd6f5ea6e5c1d31cf391b95033c3df2f54694d0e1d1aa

Observation 58656811-cbce-4e3b-9bd1-df5582c8b2f9 · inbound

AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization cites this paper.

AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:35:07.605823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T23:29:12.545347Z digest=sha256:c51cfb8aad0746966bb370981e52854618e8f6250c4fbeebedf9b44fd881f499

Observation 65a38ce4-43ff-4698-81c6-d1778f70fa4e · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 199

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:08:20.482224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T14:05:14.737146Z digest=sha256:6b73937dafda7c81f8e0f14db583524d125a34541cf223a964b4ffe885063437

Observation 083acb93-4de8-459b-8007-f90d99bf4baf · inbound

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:59:43.438450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T10:36:14.840581Z digest=sha256:c539eaa2a319fe306f46c2e069c53ad98facf36d93d5cdadb5ada6276afda15a

Observation 602a7696-c16e-4c1f-86b5-bdc5b10be4a1 · inbound

Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting cites this paper.

Stop Hand-Holding Your Coding Agent: Engineering the Loops that Replace Step-by-Step Prompting Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:22.273470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-02T20:40:11.059493Z digest=sha256:63460a6232b9ebffdb65c980487dc30e9232875dba8d506a9076c6d130752db3

Observation 9dd740ac-f230-4ccd-aa1e-2bb4e9453a2b · inbound

DecompRL: Solving Harder Problems by Learning Modular Code Generation cites this paper.

DecompRL: Solving Harder Problems by Learning Modular Code Generation Self-Discover: Large Language Models Self-Compose Reasoning Structures

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:38:39.787048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-03T16:30:34.793328Z digest=sha256:b0676fb4fa094eb510efef66cd2706d7499bbd2fd68e696a743515f1ce4ba606