Paper Citation Record · LEDGER

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2105.06762.

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

pith.paper-citation-record.v1
2105.06762 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:15:18.394005Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70a3bd14-b500-4211-9c0a-895cf87265c7 · inbound

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models cites this paper.

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:15:18.394005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54ea8e34-ffa0-4245-9962-ef434d3f3ae7 · inbound

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning cites this paper.

OmniVec2 -- A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:50:15.207070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea4ea9b-4b82-47a9-8014-ff83dd2b970c · inbound

On the Fitness Landscape in the $NK$ Model cites this paper.

On the Fitness Landscape in the $NK$ Model DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T19:28:56.205859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49c74a56-64c0-483a-8680-af60faf1cb84 · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T16:10:53.219367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66552b32-886f-4d29-a614-b43de4230293 · inbound

Learning to Control Summaries with Score Ranking cites this paper.

Learning to Control Summaries with Score Ranking DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:36.337612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation db2dbbec-5fd2-474a-bd41-3332229c8a71 · inbound

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 150

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:27:28.536457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4bfb8d8d-ff58-4f6b-ad31-b5709ba43f08 · inbound

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:05:35.681568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.