Paper Citation Record · LEDGER

Multi-granularity Correspondence Learning from Long-term Noisy Videos

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.16702.

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

pith.paper-citation-record.v1
2401.16702 v1

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:39:16.110935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:17:28.882103Z

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 7dfd07cf-4269-4377-ac86-772a033fc2b3 · inbound

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval cites this paper.

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:16.110935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a922a5-baee-4e19-869d-6cc760f1c08f · inbound

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition cites this paper.

From Coarse to Nuanced: Cross-Modal Alignment of Fine-Grained Linguistic Cues and Visual Salient Regions for Dynamic Emotion Recognition Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T17:08:55.704482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d17583d-d6fe-41b0-a133-eadbeccc8389 · inbound

Robust Fuzzy Multi-view Learning under View Conflict cites this paper.

Robust Fuzzy Multi-view Learning under View Conflict Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:24:45.285200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f73e3cea-02c7-446b-bebf-6a3cf804c619 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:36:16.958235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 870c95a0-0801-49a1-97f7-afbcc3e3e8da · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:17:28.883764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 408239d0-5ccf-4914-9d3f-83b08f5f4a2c · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 213

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:16:53.726370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cabcb29f-76bb-468c-98c7-20dadfc5b32b · inbound

FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision cites this paper.

FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision Multi-granularity Correspondence Learning from Long-term Noisy Videos

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:10.857069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.