Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.03162.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-23T19:07:21.016824Z
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 2026-07-31T06:34:12.847434+00:00.
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 2026-07-31T06:34:12.847434+00:00.
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 2026-07-31T06:34:12.847434+00:00.
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 2026-07-31T06:34:12.847434+00:00.