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Paper Citation Record · LEDGER

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07580.

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

pith.paper-citation-record.v1
2405.07580 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:30:26.263938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:38.662728Z

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 1f85efc6-76fc-45d7-a535-afdaa65bec5a · inbound

Graph Foundation Models for Recommendation: A Comprehensive Survey cites this paper.

Graph Foundation Models for Recommendation: A Comprehensive Survey DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T05:30:26.263938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:30:26.263938Z digest=sha256:eb82d39e2ba5125224b5a22dd9db04aad0777a00911a1a2ef706a7cd890f0965

Observation 2d446eb6-c161-4e4a-a37a-e9d86263b070 · inbound

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

Node-as-Agent: Graph Agentic Network DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:13:24.851396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:13:24.851396Z digest=sha256:4b96259f60da434776266209fc465502db0379ea590481f5d395d88f359658d1

Observation f91ee353-cd5d-4a63-97c2-67c467d8f761 · inbound

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration cites this paper.

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T22:56:30.565499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:56:30.565499Z digest=sha256:6dce7177b0de9265156ba697b46cbb2f9c8465b04499fcf88bae85f1a65cc0a8

Observation fbbefb8a-77f6-453d-b3b7-7d9c3dcb8dc8 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 239

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.198776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:a7ed0cd0bb02a17d0ea893dcf314d9543e933796c0ec0137de51787a5fe62f80

Observation ba4d3b79-cc6d-475a-b30c-eeabdfdb058f · inbound

Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation cites this paper.

Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation DynLLM: When Large Language Models Meet Dynamic Graph Recommendation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:49:38.665120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T15:16:26.994672Z digest=sha256:b8c52b239fbfcde164c8d8bc197c6c3ea5282ff9c67b34e007944f4e941689d8