Paper Citation Record · LEDGER

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:30:51.708827Z

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

Observation 11ab2c27-fac7-4f66-8fac-260e86e6c3fc · inbound

Multi-task retriever fine-tuning for domain-specific and efficient RAG cites this paper.

Multi-task retriever fine-tuning for domain-specific and efficient RAG Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:30:51.708827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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 2026-08-22T06:32:14.747728+00:00.

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.

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.