Pith. sign in

Paper Citation Record · LEDGER

Towards Scalable Automated Alignment of LLMs: A Survey

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:46.600433Z

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 20c3458d-47cf-4438-85e6-54519067eab3 · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Towards Scalable Automated Alignment of LLMs: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T18:28:46.600433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:28:46.600433Z digest=sha256:f03a5e20653a2ce8bd21d0f2e82d3d2e5ac0694a63b5b78d0544dae36fbb5535

Observation 9f34814a-7c57-4b67-9298-43a733790733 · inbound

Towards Adaptive Mechanism Activation in Language Agent cites this paper.

Towards Adaptive Mechanism Activation in Language Agent Towards Scalable Automated Alignment of LLMs: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T05:09:47.701961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:09:47.701961Z digest=sha256:94356079f90f82b98cfd9d1050489d8d25e4858cbfdefffe0032503f4bfd68ec

Observation cf35207e-67c8-4411-bf9f-6cdbb6d128cd · inbound

ProcessBench: Identifying Process Errors in Mathematical Reasoning cites this paper.

ProcessBench: Identifying Process Errors in Mathematical Reasoning Towards Scalable Automated Alignment of LLMs: A Survey

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T19:37:21.509328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:37:21.509328Z digest=sha256:471909615195b6af286a7eb0b190d9cb1f5fa7c87274db5320e987f698760163

Observation c67baca8-8d1f-49f2-afdf-b572993add76 · 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 Towards Scalable Automated Alignment of LLMs: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:51:18.568912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:51:18.568912Z digest=sha256:a04c6898ddb635863ded525051840a7ae142488771a97cbd06945a8f0c0e46c7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:8bca4da8dac7d0147333a8a5777b8de62bfe31d63640593707d5d1b282a48f2e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T03:37:49.928495Z digest=sha256:6f41774c49e1623319203dec9b4a79cb25e6c7a7377f792e6540970d50ebc133

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-25T08:28:01.477752Z digest=sha256:6c3fd08ea749cc406b104943ace3e90364118ac9dab71719e0c9a6dbc279f31f

Observation 6f40d924-9413-47eb-ab69-267bd717a1a8 · 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
unresolved
no resolver link, observed 2026-08-08T21:37:50.408977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:37:50.408977Z digest=sha256:4395ebdf1e4a597af8601f920972bff968e797941ab1257f2e42fed12e915cba

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=sha256:1fe24a97d206bfef33fe0d54c51d249892874c9c25b5ad24119b9d853035ca81

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=sha256:90d5eef101ebe780bd947e078f8bc3dd2d470b57f4c90e502754bf1978c71842

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-08T06:28:14.378602Z digest=sha256:b8990a3cdd36a9501d3ec7642db5218acdc840966f295a0baa93cb523ec0d0f2

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=sha256:390a664a4b12c7befd9b66b4787b3b1a4a63430002af464813faa80eca1e4354

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-07T12:31:42.224094Z digest=sha256:6a0d4428f798b8d1e96e940eea67687f42339e1053cf3a1ef8c60caddcb0a9e6

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=sha256:03851d44beddfb9721f8ed175b07d6caa880f89be52d817f97909cafff7720e8