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Paper Citation Record · LEDGER

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1907.13487.

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

pith.paper-citation-record.v1
1907.13487 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:56.145797Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.913828Z

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 a098f200-3b56-4981-a98e-95c99d0fee1f · inbound

Demystifying CLIP Data cites this paper.

Demystifying CLIP Data Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:20:20.347033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T09:20:20.143143Z digest=sha256:af8ec7dd9af3198b9ceec9d4cac9c0ebbd3e0f6cd222746656e22b538584804a

Observation f50e8fcc-a91a-4aaf-ad39-508541528daa · inbound

MVP: Winning Solution to SMP Challenge 2025 Video Track cites this paper.

MVP: Winning Solution to SMP Challenge 2025 Video Track Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:56.145797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:56.145797Z digest=sha256:c2e3326061833c0e169c602abb37d60654cb1965504d8ee7991f84b5427ac595

Observation ad4ccc17-d77a-400f-bdcc-1014665cd86d · inbound

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents cites this paper.

VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T14:10:15.188493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T14:10:14.929207Z digest=sha256:c9c13af40a0107538a565d3918e76d06f35d90c0687ebc124c9c6eaa24258fa2

Observation 9b59223d-fe97-4a56-a8f8-6deee68e54cc · inbound

HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning cites this paper.

HLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:49.115844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:49.115844Z digest=sha256:d165c7edfaa43181a4d34ea4151e8d2ceafd5641f1e6861cf2d5202784cd5b08

Observation f905858b-4d32-4e3d-9aa6-88d9a331b807 · inbound

Adversarial Video Promotion Against Text-to-Video Retrieval cites this paper.

Adversarial Video Promotion Against Text-to-Video Retrieval Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:06:55.125018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T00:05:07.182361Z digest=sha256:f5aa4ba7088d162b6549308853dc1afc070f176575479e1c175b2ca6f3ed2b41

Observation 5e35538b-b340-4121-b38c-0d251d6bdc21 · inbound

Text-Video Retrieval With Global-Local Contrastive Consistency Learning cites this paper.

Text-Video Retrieval With Global-Local Contrastive Consistency Learning Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:57:54.276088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T00:54:38.366362Z digest=sha256:11aa755a5f69949c4aae34bef7b60ce5e581313e36e6423cbc679ab3bf5bea37

Observation 2ff6d165-8d0d-4f61-8826-0f546e78a8ef · inbound

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs cites this paper.

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T13:43:28.720539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T13:39:55.838296Z digest=sha256:2b8a42611140bea52c4be9a159dd2b66e30bbc63e1e1d8d7b161a71516440445

Observation cff52dc4-5b61-498e-918f-f59cbf0b1049 · inbound

DREAM: Extending Vision-Language Models with Dual-Objective Encoding for Cross-Modal Retrieval cites this paper.

DREAM: Extending Vision-Language Models with Dual-Objective Encoding for Cross-Modal Retrieval Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:06.915981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:34:15.699712Z digest=sha256:12659c9ea813c5143f5bff6a24b69890f886504d72a11b23e998ca46b21d46b8

Observation b06f3ded-a3cf-4521-bdb0-3bd9035889d6 · inbound

PHA-Net: Prototype-based Hierarchical Alignment Network for Text-Video Retrieval cites this paper.

PHA-Net: Prototype-based Hierarchical Alignment Network for Text-Video Retrieval Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T00:46:15.647744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:46:15.647744Z digest=sha256:8b6df57de568eefa5d24106d88a4b9730ed9ec8bb4e8739b78bd7ba5c41308e3