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Paper Citation Record · LEDGER

Towards Scalable Automated Alignment of LLMs: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.01252.

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

pith.paper-citation-record.v1
2406.01252 v3

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 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:25.146437Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa7ed495-93dd-474b-8551-9800b11553a2 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Towards Scalable Automated Alignment of LLMs: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:27.758461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:ccd248d40b7d7664a845f38b8de3ca7cbe0025df53a287f15e6fd77d4fd2bc53

Observation d4bf4b8a-7f18-4c30-9485-54feac76ca95 · inbound

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning cites this paper.

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning Towards Scalable Automated Alignment of LLMs: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:42:28.269869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T03:37:49.928495Z digest=sha256:ba5f70187fbbcd4d48bb942ef6a35fdb61dbbcca66a711dd9cab2fcd517f7a4b

Observation e068bbdf-fa20-46f7-8095-74088574630f · inbound

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning cites this paper.

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning Towards Scalable Automated Alignment of LLMs: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:30:32.037036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T08:28:01.477752Z digest=sha256:2734d99436b23458011492fd63da5035ae9af01088bcedf6daa00eead91b2fdc

Observation c0f07532-770e-437a-b29d-857be1e23e6a · inbound

MPO: Multilingual Safety Alignment via Reward Gap Optimization cites this paper.

MPO: Multilingual Safety Alignment via Reward Gap Optimization Towards Scalable Automated Alignment of LLMs: A Survey

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:25.146437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:57:25.146437Z digest=sha256:b3a34ae824072514ae9ccc4cac9726e3e5fa880a6c9f28ea44bb76180e9af7d3

Observation 5cfc4125-e680-40b5-a92e-460c7f25c0e2 · inbound

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models cites this paper.

An Uncertainty-Driven Adaptive Self-Alignment Framework for Large Language Models Towards Scalable Automated Alignment of LLMs: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:53.882193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.882193Z digest=sha256:bed709f8ada5afe417a7248c8c12d18fcb6cd23a743dc6cd9c76f71a568f8c76

Observation b5be98a0-2f89-4ebf-a393-2c17a9009976 · inbound

Pref-CTRL: Preference Driven LLM Alignment using Representation Editing cites this paper.

Pref-CTRL: Preference Driven LLM Alignment using Representation Editing Towards Scalable Automated Alignment of LLMs: A Survey

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:14:25.712258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T06:28:14.378602Z digest=sha256:43d8cfd6672cc55a89e8e803dd5b98883f70fa49c40762c0a238bb76a07854de

Observation e28711a1-022a-48a8-919b-5e37e011090f · inbound

Learning from Mistakes: Can LLM Self-Recover after Misalignment? cites this paper.

Learning from Mistakes: Can LLM Self-Recover after Misalignment? Towards Scalable Automated Alignment of LLMs: A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T18:51:10.298187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:51:10.298187Z digest=sha256:82ea78879c16acf05351325c5ba1ecd20cdae8e794cae0cca7c2fbb078348e2f

Observation 6c8ee3be-1b53-4468-8b47-039840d58de2 · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation Towards Scalable Automated Alignment of LLMs: A Survey

Reference 92

Resolution
verified exact
local_arxiv, observed 2026-07-07T12:33:45.030722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-07T12:31:42.224094Z digest=sha256:fe5fd2383f5896ffd233d1b2a139397a94ede1f8d35c9629d24dc5a94d2b82ef

Observation 1e73740b-de68-4537-b9e3-29f49fd9d5fe · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation Towards Scalable Automated Alignment of LLMs: A Survey

Reference 88

Resolution
unresolved
no resolver link, observed 2026-07-11T07:01:56.628017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T07:01:56.628017Z digest=sha256:15ad546c924387beeef63d27b28d5bdf8a1b34a71ed468dd8803d0529bc56f9a