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Paper Citation Record · LEDGER

Patton: Language Model Pretraining on Text-Rich Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.12268.

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

pith.paper-citation-record.v1
2305.12268 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:50:52.712362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:43:15.509485Z

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 1c98db87-d1e8-4482-aa23-517736de4bab · inbound

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks cites this paper.

HierPromptLM: A Pure PLM-based Framework for Representation Learning on Heterogeneous Text-rich Networks Patton: Language Model Pretraining on Text-Rich Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T16:50:52.712362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:50:52.712362Z digest=sha256:b6d35a0406425c1a2d9691bb29df0b7d8a0e2b7c1bece8c2baf97e762aae7471

Observation da47f4f7-f529-47d7-b790-00ed08b53d07 · inbound

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning cites this paper.

GraphScout: Empowering Large Language Models with Intrinsic Exploration Ability for Agentic Graph Reasoning Patton: Language Model Pretraining on Text-Rich Networks

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:50:16.964241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T18:47:06.207176Z digest=sha256:c9b0430bae6f53591d1ffafae5a444dfb4229a7114d4eb7d8fdd0fc56f302b30

Observation 586e6f3d-d3f1-4bdf-8f24-f7c63edc072b · inbound

OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction cites this paper.

OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction Patton: Language Model Pretraining on Text-Rich Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:43:15.510908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T08:36:52.151369Z digest=sha256:f6e1b65ad42501b3143ce1ef5e5ffaf4b16f6321c201e306e74318b54b31d417