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Paper Citation Record · LEDGER

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.00934.

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

pith.paper-citation-record.v1
2404.00934 v2

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 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:27:10.637052Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T14:10:13.530157Z

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 64a6ae8d-d82c-4be3-b1f0-6e5ff0b848f4 · inbound

From Words to Workflows: Automating Business Processes cites this paper.

From Words to Workflows: Automating Business Processes ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T22:27:10.637052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:27:10.637052Z digest=sha256:213fbbef68d3dcc1d3390e2645b64aad499ee86d650eb6d3d80aac9f14283e5c

Observation cc5c5a8a-18c7-4af0-9504-f385e2c6df51 · inbound

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models cites this paper.

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:51:18.598349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:51:18.598349Z digest=sha256:791830a58c6645f7cd36c996151e35502fa5b779d11f2e04bf6bb0b5d4b0c04b

Observation 1f4e5fd1-49c9-4d1f-a8fa-aa578a551225 · inbound

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration cites this paper.

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T00:45:32.795163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:45:32.795163Z digest=sha256:e93008fed2dc68b7731a4ba16837b675abfaeb87e69f783213d275513d2cfff1

Observation 63471a50-68db-4b43-9256-62cde541a79b · inbound

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning cites this paper.

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:52:09.307226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-19T07:51:35.381534Z digest=sha256:0574590680bb90e05393267c82b0682dc599edefa1c20861474d4d6e42114481

Observation 5653751b-b50d-4246-aec2-17d7a6739f09 · inbound

SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models cites this paper.

SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.591261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T05:22:30.509147Z digest=sha256:0d1607f48d37ea47dc0c848aebc9a431be6ca5747f3f85c599f6a4e61c7b66eb

Observation 355d3f0a-2be2-4bf8-83e9-a6914b4e4ea1 · inbound

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation cites this paper.

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:30:35.832619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T01:27:00.824546Z digest=sha256:913e8e545bd471be2b32ea086124a9aac59dd020303170f81d30f81131f5a2b4

Observation 4df037d2-7431-48e2-951e-3c40693ba311 · inbound

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:40:49.066354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T09:37:57.120779Z digest=sha256:3798a2a4a231c6a59aeef8e9f38e5b4a03a2e490b5342835699f20e8aaf534d7

Observation 6f5bf541-14e5-4ffd-8b3e-1a5725aef206 · inbound

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment cites this paper.

ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:10:13.533374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T14:05:37.120262Z digest=sha256:e21c5abf6a1ed158d1880ccada71942dc2ed7e4a21cea5a5f0df9a00d8c72672