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Paper Citation Record · LEDGER

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2101.06983.

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

pith.paper-citation-record.v1
2101.06983 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:09.937638Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:14:45.815660Z

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 883c8e61-3f00-46d1-972a-caa11b411eb8 · inbound

Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:38:09.508211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:38:09.427509Z digest=sha256:be20d8602e7a086233ee2996758638c27a52489acd2fc73da7c60f3c99a126c7

Observation 91acef73-b408-4249-9310-360650c37810 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.203915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:fc4d2a0d995a7ac132b1ee984509833da9293b675fab70036c6722d9296a4c0e

Observation 0272e41c-434f-41e9-901a-e9a221f4eb25 · inbound

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks cites this paper.

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:19:43.962174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T21:19:43.882232Z digest=sha256:434b75dc7b29154e5bb2a344b0252e72f09206cbfde4ede201fdff9dd215a15e

Observation b0d92178-00a8-4080-8687-9ee158ac48fd · inbound

CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs cites this paper.

CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:09.937638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:09.937638Z digest=sha256:acb25f0bb950ab95e276cd5a1b5ea5ffd86abe99293c3a0982098e3f575e98e5

Observation ca42443c-c179-41f3-aa19-4651778dca89 · 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 Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:10:15.070402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T14:10:14.929207Z digest=sha256:d885efd1d90e18bbbf9aa4ec9f1c2a7c21a507522ddeb04f88db5adb710422c0

Observation c674f645-2fbe-40b1-825b-af9e0efe4380 · inbound

Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging cites this paper.

Improving Korean-English Cross-Lingual Retrieval: A Data-Centric Study of Language Composition and Model Merging Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.005887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-22T00:39:24.748381Z digest=sha256:fdfea605a4f2d3f8fd8cb68a82d72b2eb0f549830ca311989455f35f790de1f0

Observation 12db389b-bc10-4bde-a505-b550c052d7b7 · inbound

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker cites this paper.

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:05:31.426534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-18T00:04:47.376473Z digest=sha256:40c7170280af60bb47c09d700a775986916624f75861cf23dc9bd98991a2b34c

Observation d36fd269-6b48-4775-81b2-c06f130742ca · inbound

Legal Retrieval for Public Defenders cites this paper.

Legal Retrieval for Public Defenders Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:10:16.574801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T15:08:52.648347Z digest=sha256:982279a9e3696e93a53261e10f38d41d00bae213ae160270e330ba1d5615e626

Observation 4b37508d-aa98-47f8-9caf-f5c0cd5a719a · inbound

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling cites this paper.

Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.994438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:16:32.064797Z digest=sha256:a4ecd1313392f3ee014f88a057d3d4f3e53ae972a0b8c69c501469097ab55f4e

Observation 1d49c91c-bbf7-4759-8e5b-f6b00ff1e710 · inbound

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering cites this paper.

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T14:14:45.817523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T14:06:57.864207Z digest=sha256:e266c7720f3e4149684a944ef33242b2e00f5cbb11ebdf5ff1d2f4f955330cb8

Observation 8aa734b7-6796-441b-9a0a-4a9eb931f883 · inbound

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders cites this paper.

Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-01T03:15:58.618216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:15:58.618216Z digest=sha256:5bfdfd2138804373d4c3a08e05b13049b3c2fa1f385c3b730ae0128e451ebb4c

Observation 3e1ac40a-362b-4648-b680-886b4dcee7b4 · inbound

Illuminating Visual Identity in Universal Multimodal Embeddings cites this paper.

Illuminating Visual Identity in Universal Multimodal Embeddings Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T20:43:14.991222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:43:14.991222Z digest=sha256:344c0411d17bad7f448479ab12e951a2b39d297240723fe0641fba6b71dc854b