Paper Citation Record · LEDGER

Time-Contrastive Networks: Self-Supervised Learning from Video

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1704.06888.

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

pith.paper-citation-record.v1
1704.06888 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:04:35.259633Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:29:37.266500Z

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 d155c1dd-400f-49d1-9111-90c5310ca2a4 · inbound

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments cites this paper.

Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-25T14:35:57.404834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12ff28b5-7b53-4498-aaaa-93fd1c37247c · inbound

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 265

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:43:19.280825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation caf68e17-cb1f-4da2-8c53-e5925593c204 · inbound

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense cites this paper.

C-LEAD: Contrastive Learning for Enhanced Adversarial Defense Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T07:04:35.259633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c76026-43c0-45bc-b74a-0a8e3326cae7 · inbound

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models cites this paper.

MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:26:09.413964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9af1a518-4ad0-459c-b34e-523ea9dbcaf2 · inbound

Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video cites this paper.

Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T13:58:21.277170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2bfff86-cf38-4af2-92e5-e280bb639d16 · inbound

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning cites this paper.

PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:29:37.267962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.