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Paper Citation Record · LEDGER

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.02492.

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

pith.paper-citation-record.v1
2109.02492 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:26:12.733976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:56:09.420386Z

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 b4f761d8-ae34-4fac-a140-8895df3571b3 · inbound

Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization cites this paper.

Refining Text Generation for Realistic Conversational Recommendation via Direct Preference Optimization DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:12.733976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:26:12.733976Z digest=sha256:5036ca1adabff9be96ac896c33448778424d1040a4429c14b02b480598b313ac

Observation 776cfaca-d53c-4eba-a738-4c0681d19627 · inbound

Linear Semantic Segmentation for Low-Resource Spoken Dialects cites this paper.

Linear Semantic Segmentation for Low-Resource Spoken Dialects DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:56:09.429292Z

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=2026-05-08T10:38:32.649031Z digest=sha256:5eb06a0b9007b8219e913cad6d20b9c53fc5217343e7764d8334aa85a64890b3