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Paper Citation Record · LEDGER

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2011.01403.

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

pith.paper-citation-record.v1
2011.01403 v3

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 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:49:46.712148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.768926Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • 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 c473e60e-7146-4720-91cb-24c30f59c0f1 · inbound

Probe-Free Low-Rank Activation Intervention cites this paper.

Probe-Free Low-Rank Activation Intervention Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T23:49:46.712148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:49:46.712148Z digest=sha256:92c670653e0d3650e348cbf09ac659f7ddfdc50422ff7f2985c04349d7126f4d

Observation 91f6d3af-5d5b-4245-abe8-cda51feb0c9d · inbound

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning cites this paper.

Enhancing LLMs' Reasoning-Intensive Multimedia Search Capabilities through Fine-Tuning and Reinforcement Learning Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:49.847670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:49.847670Z digest=sha256:e4a98d0c5978f1f3b3977909d4f639b3df545b90a0f68b387586e28752ad41af

Observation 5616103b-fc4a-40b4-8d7c-e7a72e3cd1fe · inbound

Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models cites this paper.

Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:04.909324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:04.909324Z digest=sha256:97869a421a5b6a13edb7d86f13aec40b77d6a0d56d0f5212566c884fc90f3fac

Observation 102f9b80-f988-48e7-a352-d696ae951857 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 146

Resolution
unresolved
no resolver link, observed 2026-08-06T14:13:06.470064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:06.470064Z digest=sha256:4069f2f0168a6906ae68cf271a306d900ed7d8d97e3cf2191f97a4fe10888ddc

Observation 3e6d0f81-d9f6-4bb2-be44-24da7d0876d4 · inbound

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems cites this paper.

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T10:18:07.068592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:18:07.068592Z digest=sha256:fab4c2302c42757c3c596b541890fe6a549c5e8fda03aefee399e75f49f1c3f5

Observation f9ec1f87-b008-4d42-967e-7fd482ee70e7 · inbound

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer cites this paper.

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T16:56:36.023552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:56:36.023552Z digest=sha256:c211b7fe7a0c5065a4e4af5213e0fc38598f2b6ccdd8b942a96ffbf894cd0a48

Observation fe52e622-5b48-4034-821a-dc85ecf18dbc · inbound

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments cites this paper.

Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T23:16:27.902861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:16:27.902861Z digest=sha256:643cfa2b604d575bc3250d23cba70cfe673941976e59d66c4803fa250391be00

Observation 29bc6498-26cd-4f89-8f9e-5f6150826f37 · inbound

Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following cites this paper.

Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T23:35:39.680084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:35:39.680084Z digest=sha256:c341b9f9e465f94d5f94f9d35163f39246292e7a513a4edd5632da3315a7dc37

Observation 0bcbe29d-b5da-4700-92eb-1faa04d7b6e9 · inbound

LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning cites this paper.

LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:25.876983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T08:27:59.370501Z digest=sha256:5d628c5599bc86aff99d03bcbb9ee49a2ceb22e436958f32177aa5e566947feb

Observation d9100ee9-2746-484a-8b02-269fee51c102 · inbound

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair cites this paper.

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:41:36.592519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T06:39:29.822371Z digest=sha256:a69ddfbae8de00ba6f62a315d73fb8efbaa6c5b0aa756ef8c52fb79da2829de6

Observation 82fad39b-e663-4db0-80cb-fc09d718d0a6 · inbound

G-Loss: Graph-Guided Fine-Tuning of Language Models cites this paper.

G-Loss: Graph-Guided Fine-Tuning of Language Models Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:51:17.918131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:11:45.621957Z digest=sha256:3e50afaaa942d48f13bda559c2c5097bfabe5a358837ccad70600e03edae798e

Observation cf83abd8-6cd6-4609-b25c-42b532e13096 · inbound

Contrastive Regularization for Accent-Robust ASR cites this paper.

Contrastive Regularization for Accent-Robust ASR Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:51:25.801495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T13:33:17.656492Z digest=sha256:0f254311993a48356a602baec4e364ec5bb5d46316a7d95a27125c40799859ac

Observation a2394e92-5cc4-41f9-ac21-55a3c1282849 · inbound

Cross Paraphrastic Invariance Learning for Hallucination Detection cites this paper.

Cross Paraphrastic Invariance Learning for Hallucination Detection Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:57:23.770438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:58:46.715154Z digest=sha256:f1068f3c45205062fce5801d71ad4634bfd26e342d843cec99db68714c1e99a7