Paper Citation Record · LEDGER

Time-Contrastive Pretraining for In-Context Image and Video Segmentation

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.17837.

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

pith.paper-citation-record.v1
2506.17837 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:03:51.366638Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact2
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 454a6692-fb7f-4743-bd7c-d5af91446320 · outbound

This paper cites Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.249957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb65f6c-fb2d-4022-8b33-d6d71318384b · outbound

This paper cites A Cookbook of Self-Supervised Learning.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation A Cookbook of Self-Supervised Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.255701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8121a274-e2f5-48b6-8b16-60d06a9e5b17 · outbound

This paper cites an unresolved cited work.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:03:51.842647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0b7c8d7-d070-4498-807d-490c13d9dd08 · outbound

This paper cites Language Models are Few-Shot Learners.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Language Models are Few-Shot Learners

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.266312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e3c8aa-063c-426a-a927-f8e620d28b7d · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation A Simple Framework for Contrastive Learning of Visual Representations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.271746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e18d47-3983-42a1-acaf-94b5243a20bd · outbound

This paper cites XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:03:51.682248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e43a85d-2eac-4ecf-86fa-cb64b260a589 · outbound

This paper cites an unresolved cited work.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:03:51.827606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5dfa5448-94c9-47cc-8d79-8f8e585284f2 · outbound

This paper cites Flexible visual prompts for in-context learning in computer vision.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Flexible visual prompts for in-context learning in computer vision

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:03:51.661903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74f67727-1406-4ed0-8c65-315d803dc0ca · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Masked Autoencoders Are Scalable Vision Learners

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.291799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c1c298a-4172-4f60-b75d-359d0f369387 · outbound

This paper cites an unresolved cited work.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:03:51.813666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ad3ffdf-baaf-47f8-818a-79c88d738bdb · outbound

This paper cites Deep Residual Learning for Image Recognition.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Deep Residual Learning for Image Recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.300902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61c7f6c-3616-455e-992c-0c9fb1e2dc82 · outbound

This paper cites Decoupled Weight Decay Regularization.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Decoupled Weight Decay Regularization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.305711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc5e8e0-c8b6-4b49-a94e-3e3822cc0424 · outbound

This paper cites an unresolved cited work.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:03:51.799412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6de15cec-bc87-4d86-a599-aededd6a225d · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Learning Transferable Visual Models From Natural Language Supervision

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.315096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8244d346-8027-48fa-a6c8-f813c3e2536d · outbound

This paper cites an unresolved cited work.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:03:51.785396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e1ba129-5cac-4391-8430-e53fb36a6c0a · outbound

This paper cites Time-Contrastive Networks: Self-Supervised Learning from Video.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Time-Contrastive Networks: Self-Supervised Learning from Video

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.324403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1184ad4d-bfcf-4e1b-8bb9-e54506e9d9af · outbound

This paper cites https://doi.org/10.48550/arXiv.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation https://doi.org/10.48550/arXiv

Reference 17

Resolution: verified exact; doi, observed 2026-08-15T19:03:51.585030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f349f826-fdfb-4f84-9f74-214676b9722c · outbound

This paper cites Machine Learning109(2), 373–440 (Feb 2020).

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Machine Learning109(2), 373–440 (Feb 2020)

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T19:03:51.770315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 05f626f3-e4fb-4177-aae3-a50abf0b6fb8 · outbound

This paper cites Images Speak in Images: A Generalist Painter for In-Context Visual Learning.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Images Speak in Images: A Generalist Painter for In-Context Visual Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.338053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2318cd51-29dc-462e-9e32-136d476f8ef6 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.342688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f54c9b60-7ec4-4877-a2d8-ed2a0f680d00 · outbound

This paper cites Journal of Big Data3(1), 9 (May 2016).

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Journal of Big Data3(1), 9 (May 2016)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.347569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16214fa8-9656-41fb-8f22-90da1c139e68 · outbound

This paper cites ACM Computing Surveys56(12), 1–38 (Dec 2024).

Time-Contrastive Pretraining for In-Context Image and Video Segmentation ACM Computing Surveys56(12), 1–38 (Dec 2024)

Reference 22

Resolution: verified exact; doi, observed 2026-08-15T19:03:51.452304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6d976ae-a6fd-42cd-9410-8713a8962842 · outbound

This paper cites Instruct Me More! Random Prompting for Visual In-Context Learning.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Instruct Me More! Random Prompting for Visual In-Context Learning

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:03:51.437151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6d305f84-a168-4b15-aa62-8542a63fe42b · outbound

This paper cites What Makes Good Examples for Visual In-Context Learning?.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation What Makes Good Examples for Visual In-Context Learning?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.361662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af25cb07-9809-4150-ba97-6d7f3998bc1d · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Time-Contrastive Pretraining for In-Context Image and Video Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:03:51.366638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.