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Paper Citation Record · LEDGER

LitLLM: A Toolkit for Scientific Literature Review

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.01788.

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

pith.paper-citation-record.v1
2402.01788 v2

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 2026-08-05T06:32:48.257954+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:54:33.811783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:36.905969Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 64816137-9346-4b15-b954-18284968d0c8 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:17:06.410238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:18650bf5437db65ec1772eac759cdea8f4d719e1ff52479ed7fcf379f104a1c3

Observation eeb097bc-91f3-4174-83cb-2e46833e7892 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution LitLLM: A Toolkit for Scientific Literature Review

Reference 114

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:58:58.848224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:5e52b6356a226aaae3b4ba044c630fb862628a2731463e12e1f07b233609d778

Observation 04e0f080-5963-4ddc-8f49-8f9a214d9d66 · inbound

Paper Espresso: From Paper Overload to Research Insight cites this paper.

Paper Espresso: From Paper Overload to Research Insight LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:45:47.924884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T19:37:25.753942Z digest=sha256:0ac1f8b9bfcdba3e6bb237dcf998ac82c6a77ebc3586d8f2ace62ac33b4052de

Observation 147c919a-48ec-41de-b9e2-cffec6c8d1ac · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:19.863887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T18:54:06.144968Z digest=sha256:8acb9cd909286377444adfedd38dc6c54359908dc8f2c4a591ff2c71516c844a

Observation 7f2bf485-805c-4297-9aa9-4f698d1cf9dd · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.712111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T00:18:32.423103Z digest=sha256:c468d027191164bd3f3ed5a63d39bebd24f816328832c9696941fe001caf9804

Observation c43bba5f-de71-4aa3-b178-6441dfa5a8be · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:31:07.956061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T17:28:41.217810Z digest=sha256:4fb8b802f6b364647427e59ffa05615a68b6bfd136778449f6daa5749908cd45

Observation f535e78a-dfe1-4d81-b775-673e04991365 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:13:52.851248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T00:13:07.546472Z digest=sha256:9144424410b94b4a244f27e736d1e70484b8e2136fad4be0cf068889673f5023

Observation d7dbb624-fef7-4c21-b350-5459f1da46d4 · inbound

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research cites this paper.

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research LitLLM: A Toolkit for Scientific Literature Review

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:52:35.656905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T18:50:27.219978Z digest=sha256:e1b34750004c9c0938b321cf75898d2a67917b19862c339caa41089abaaa3608

Observation 6fd1ec87-fff6-4866-9b39-b3ab49522195 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.615221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:0ea37fcd548ffd345c0037a36dad8c4fed1b424143cf5ee5346202a36c9cb798

Observation b40a947a-01c2-4b01-bd90-dd675805e366 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T13:43:32.642197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:43:32.642197Z digest=sha256:680e3a05464863ffe377509f7c50382e901c024ee03e7114f17e9b9e5b6f1cc4

Observation b30f06f8-a32d-4780-983f-e0cb4dad5a3a · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:50:21.521821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:252ffd3fc6a93e803f718864a97a8bfb7399dfd0adce834ea6c862901a228452

Observation 066e99d0-d58e-4936-8eac-c338a29b549f · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report LitLLM: A Toolkit for Scientific Literature Review

Reference 150

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:39:36.907473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:8d593c61f0d1a7fe055c508f95cf7309a8369e6ca2ea2322dfcabf80fa93a60c

Observation d7c4ff72-b5e1-4c29-a9e5-7e0445196771 · inbound

Multi-Turn Agentic Scientific Literature Search via Workflow Induction cites this paper.

Multi-Turn Agentic Scientific Literature Search via Workflow Induction LitLLM: A Toolkit for Scientific Literature Review

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:16:58.149803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-07-02T13:14:12.212139Z digest=sha256:4a791f051693fc70b4f930464f86ebac7902661487b119bd0645c07b5e5237df

Observation 2b53f089-4f3b-4b8b-b83c-d6b635efe76a · inbound

Multi-Turn Agentic Scientific Literature Search via Workflow Induction cites this paper.

Multi-Turn Agentic Scientific Literature Search via Workflow Induction LitLLM: A Toolkit for Scientific Literature Review

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-12T09:24:39.779703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T09:24:39.779703Z digest=sha256:3afa3cbce33b3156d95201ca3c626cce44097d6c9a8d65a78923bdba5a1ccee8

Observation 54804b4f-9eb0-45f0-b60f-e6bfadbd4119 · inbound

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review cites this paper.

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T00:54:33.811783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:54:33.811783Z digest=sha256:7afcd62b894406df75d3f83f457f78322bacdd2fef99bd04a0c4c0c50d125975