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Paper Citation Record · LEDGER

Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.03162.

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

pith.paper-citation-record.v1
2210.03162 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:05:54.242109Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:08:20.744941Z

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 073728d1-c633-4ef5-b2f1-a14b4d172ef6 · inbound

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models cites this paper.

ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:15:55.742216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T18:15:55.525596Z digest=sha256:1a23ce242fec49494ac98f8c3e4d9eee7110636ad28a0bcc8dae09cdae28b823

Observation 17a6abed-1d41-44a9-a532-3c70a9a2fbb4 · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:39:33.217038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:e2c3516afca82668e4a67d680f79893e4441914b7b08fa2b698f644d19e6dcda

Observation 7c5cde2d-38db-413b-8f39-c089c7212c98 · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:08:20.748252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:2122a86fd306ae4e9eb276c90a259ce75f19ca173722cd65263388fa6dbfb661

Observation 6acebd90-e212-4125-bffb-2e0a8f7dc58a · inbound

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness cites this paper.

C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T14:47:04.025160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:47:04.025160Z digest=sha256:33d78a675baa0ffce769740d4b5f39fd04f4f5385edaaea504835d9bbfb6d5c7

Observation 872d3562-7017-4991-9a43-ea024874796e · inbound

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression cites this paper.

PIS: Linking Importance Sampling and Attention Mechanisms for Efficient Prompt Compression Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T11:05:54.242109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:05:54.242109Z digest=sha256:e997fa16f3d59088acfff43862bf29a7fd8fb5c7d876dd063102096eb4f819ac

Observation eb55b45a-b5e4-467e-9a33-f12fa80d56e8 · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.141130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.141130Z digest=sha256:008c42467b0251e2ffd65438968fff5b47129db4493bd2003cd85a9de21c5dec

Observation dd083436-3c23-4295-b1da-df3018c7acd4 · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-04T08:06:15.769563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:06:15.769563Z digest=sha256:bb8fac0b330d013aa864763e8568910ac38e9858194b79e5ac8fc30b28fb19fc

Observation 807ff885-ad8c-4f80-9bbe-81ab5a93fcab · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:50:57.429343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T02:11:19.295354Z digest=sha256:3cbf9541d902b936d9e8b38f16c963cacb903ef59a5f6bfa1f8a910a6eb27c26