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Paper Citation Record · LEDGER

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.11736.

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

pith.paper-citation-record.v1
2406.11736 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:25:40.234574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T09:29:27.585637Z

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 345996b9-a5c4-4aed-bcf9-4dd2d8915f63 · inbound

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents cites this paper.

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models

Reference 142

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:29:27.589197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T09:29:27.173784Z digest=sha256:ec18cf28679f0e94e82f092b350e616484ef24a6a1a84e97c6e9da294e6c29f5

Observation 1c7ebbbd-eb96-4546-b335-0e8d32c310df · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models

Reference 193

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:36:24.277838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:f79ece2c63e4cd4ee0a67e31af5a9ef50bcb095f84d1cdb473dcf5f16cfcbcd8

Observation f2b94e07-6de5-4b4d-90e2-5e7b2e2fdb5c · inbound

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback cites this paper.

CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T14:25:40.234574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:25:40.234574Z digest=sha256:8bb7192f972a488712847fb63ea1b762eef302b70683cca43ee33d6f2a10d603

Observation b417b613-9169-46f1-ad6b-26486bdb5c6b · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models

Reference 200

Resolution
unresolved
no resolver link, observed 2026-08-05T15:38:55.216539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:38:55.216539Z digest=sha256:c39211d38354503163b71b4516fbc89b8e0381514a6e880ee26b68a7f571de55