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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:51:25.484464Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T08:07:54.611771Z digest=sha256:86fc1ef900087c914fd4c1e265b900afd04f2950d82a1b53c04d8470ee6a5cb0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:597ce7f0ca07ab2620a157cd9eb23866df554e4009c68d0cdce4b32d18fbd3cc

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:ecb5406d34863b6cd9c2946c59813abf40c93f7650aeba94c391563505ffee63

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:fbf3013e7b39585de41daf643a192555fff5ddd67607de0deca2c9390cd939b4

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:ce76d5c69ef292f078e6e8c3d31b3a4f75e18094b4614ef1ad076426190ed313

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:ddac37e3b4b14d4ff2ae63921fcbf757f0b5eac1082682e382637d19a1906b54

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:cd912ce4bb66809431a8aa0cba8eb60e64bacd64c8be92a966062866c5df3bbb

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=sha256:3cc920ba88a8e0c6fbce2bc1dbe9030c122ce674ea24ab5fa5841bf40f91886c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:23:47.674864Z digest=sha256:c97e893a3c778470c5eaf3cd1a7b2452316f1ac042ebc3e40f7e1f0281be9d0b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T00:55:52.965890Z digest=sha256:4a3785f6bfec1a54215c793276c02c011691534df12ef71b437ef347e2a4dcda

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T23:29:12.545347Z digest=sha256:63ac57a81f89a9976fb326de71e887104019ebe48406c4db5671941b579e5d38

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T14:05:14.737146Z digest=sha256:4de7eccbdd6f508284aa546000958db65955692e1310aabebc27ab465116a3f0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T10:36:14.840581Z digest=sha256:8fb17e9db706375006efe180af8f7055053a40443737be833046f0c4a22ef0d3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T20:40:11.059493Z digest=sha256:8635fd8f118b65b637a4b8a407dc85d0bff3f09ae14f2bca67a23b80c94e8cb6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T16:30:34.793328Z digest=sha256:28fdd28a0475972d0dcc7c2ba3aa644928f5a4d210cc7d0291156b1f1e80cd1c