Paper Citation Record · LEDGER

Aligning Language Models with Demonstrated Feedback

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.00888.

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

pith.paper-citation-record.v1
2406.00888 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:06.037210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.197129Z

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 9d7e901c-18fe-46b1-afe1-adae2505ec81 · inbound

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations cites this paper.

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Aligning Language Models with Demonstrated Feedback

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T16:27:47.894820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c68407d2-bd69-4615-b5b9-025746aa746f · inbound

Aligning LLMs with Domain Invariant Reward Models cites this paper.

Aligning LLMs with Domain Invariant Reward Models Aligning Language Models with Demonstrated Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T22:45:12.355146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd2785c-06b1-401a-9e49-ddc3613e496e · inbound

LoRe: Personalizing LLMs via Low-Rank Reward Modeling cites this paper.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Aligning Language Models with Demonstrated Feedback

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.037210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa81ba0-bdc5-45c6-861d-bedf3af9e2dc · inbound

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation cites this paper.

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation Aligning Language Models with Demonstrated Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T05:18:06.865918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fba3397f-af44-4305-abb2-056750b0d8d5 · inbound

Policy-labeled Preference Learning: Is Preference Enough for RLHF? cites this paper.

Policy-labeled Preference Learning: Is Preference Enough for RLHF? Aligning Language Models with Demonstrated Feedback

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:58:38.836609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a94c13f-caca-4a28-8740-1e285bcad0b0 · inbound

Aligning LLMs by Predicting Preferences from User Writing Samples cites this paper.

Aligning LLMs by Predicting Preferences from User Writing Samples Aligning Language Models with Demonstrated Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.805705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0628ce3d-d6b5-4007-8433-bff8d25b67a8 · 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 Aligning Language Models with Demonstrated Feedback

Reference 164

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:06.535337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e4c9e8-fdd3-4da5-8960-1ffdba955c46 · inbound

Matching Game Preferences Through Dialogical Large Language Models: A Perspective cites this paper.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Aligning Language Models with Demonstrated Feedback

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:26.698805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11714f22-7be4-435f-97d9-ab8def9f50dc · inbound

In-Context Reward Adaptation for Robust Preference Modeling cites this paper.

In-Context Reward Adaptation for Robust Preference Modeling Aligning Language Models with Demonstrated Feedback

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.198518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.