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Paper Citation Record · LEDGER

Self-Alignment with Instruction Backtranslation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2308.06259.

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

pith.paper-citation-record.v1
2308.06259 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:21.086641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:44:37.490152Z

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 21c4a66d-d35b-4feb-a9fe-ab59ef186092 · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model Self-Alignment with Instruction Backtranslation

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:34:04.792013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T09:34:04.394588Z digest=sha256:fc540077ad194603db2bd0772270e761bdc74d3bceaffc90dfb2691473cc8803

Observation 831c3a42-b4b9-4279-8706-5cd7412a9e4e · inbound

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale cites this paper.

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Self-Alignment with Instruction Backtranslation

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:36:45.536428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:36:45.363131Z digest=sha256:7351f79ef835b22b9dafcedfa4ab9241158429501d0a807507591d2a05ca4b12

Observation e9cc6ed8-83d3-4bce-937a-c68dfc3c2cb1 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Self-Alignment with Instruction Backtranslation

Reference 286

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:38:37.155133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T06:38:36.517935Z digest=sha256:4f0ef37f40d23515fce225ed233d09f561e0fed199836a161562c046216dbca3

Observation 367c276c-8757-48fc-ba82-3f127d3ae281 · inbound

Preference learning made easy: Everything should be understood through win rate cites this paper.

Preference learning made easy: Everything should be understood through win rate Self-Alignment with Instruction Backtranslation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T18:32:21.086641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:32:21.086641Z digest=sha256:fc3a5b35e3bf1aea6116011cb609e849754cb9ad1233947a0556799be4080325

Observation b8f8c58b-f1a0-4ac3-a70d-702bb44ee90a · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction Self-Alignment with Instruction Backtranslation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:12.558690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:12.558690Z digest=sha256:2e59c328cc4b74946f566e7b7e7edf5cd61eb5bda972de8aa77fe34a5acb7409

Observation 155e01d0-5e6c-4a54-baa5-985dfba1aee5 · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Self-Alignment with Instruction Backtranslation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:01.577328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:01.577328Z digest=sha256:45b39c96684d85a94442b6678b060ed4e34b1585f7206e7944076031063b081e

Observation 64a8319a-333e-491b-9423-ef1d4d148fef · inbound

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models cites this paper.

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models Self-Alignment with Instruction Backtranslation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:30.967170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:31:30.967170Z digest=sha256:05719328763fcda5faa1df68e0dbe76639e64c3078c5a662079e570049810ca8

Observation b1e3aa44-a09b-4f60-8de3-237f2c527142 · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression Self-Alignment with Instruction Backtranslation

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:56.663474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:56.663474Z digest=sha256:edc1c7812de21f9ca36266c2f7e4d550c8317d0b3e471baad20d9c518316b0fb

Observation 74c67fde-a23f-47bf-bb98-bfe30a5b075f · inbound

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding cites this paper.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Self-Alignment with Instruction Backtranslation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.928090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.928090Z digest=sha256:2945ec8af67d6326a76ec65626dd72cc9e25e389eb605e4ed5b3619b67d51d30

Observation 9d8987f5-dcae-4534-872a-cbc62898758f · inbound

Aligning Large Language Models with Implicit Preferences from User-Generated Content cites this paper.

Aligning Large Language Models with Implicit Preferences from User-Generated Content Self-Alignment with Instruction Backtranslation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:50:52.045091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:50:52.045091Z digest=sha256:94573736f78082aa2a57736a991fdaa9039f8caa06ef9c45c6adeba301c74e7a

Observation 73c2a475-43b2-41d8-a0e4-231a0a7e259a · inbound

Bridging Offline and Online Reinforcement Learning for LLMs cites this paper.

Bridging Offline and Online Reinforcement Learning for LLMs Self-Alignment with Instruction Backtranslation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:28:06.859418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:28:06.859418Z digest=sha256:82b503ceaf298ffc9d158d112fccab7657f061e551431c5381ef0f8404f11b8b

Observation 6382da76-56cf-4159-8dc2-1212cab5262a · 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 Self-Alignment with Instruction Backtranslation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:51:53.906648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:51:53.906648Z digest=sha256:752395dfe8280a016960edcbf0c5d65345ad6d66ae6a6b942349e4ee2a15bb6b

Observation 57b48448-a52a-4f71-b12e-4937390791ac · inbound

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future cites this paper.

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future Self-Alignment with Instruction Backtranslation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T23:06:49.624787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:06:49.624787Z digest=sha256:49786b45916558bd88a9e8e553c928882f7c181988556c555cc59a3a3da034a3

Observation 77a08462-cee9-44e0-935b-cd065fa4f906 · inbound

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty cites this paper.

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty Self-Alignment with Instruction Backtranslation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T16:02:03.524223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:02:03.524223Z digest=sha256:63a9b0bdb638bc5489fa369fc82fa5c4e299567d83929435f9826322e0491886

Observation caacf0fe-eb77-45e9-ab16-b9cc38bf95c5 · inbound

Mixtures of SubExperts for Large Language Continual Learning cites this paper.

Mixtures of SubExperts for Large Language Continual Learning Self-Alignment with Instruction Backtranslation

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T23:23:02.579293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:23:02.579293Z digest=sha256:af955f63cd08876e6ff2247f4aee05851f17c269c3458ddd9119d102d5da8e67

Observation baaf6e12-a5c3-4da0-ba4d-4dbbe8e6437c · inbound

LLMs Corrupt Your Documents When You Delegate cites this paper.

LLMs Corrupt Your Documents When You Delegate Self-Alignment with Instruction Backtranslation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:48:47.746847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T09:47:21.966292Z digest=sha256:60082fd3a2f49be5a30c1d18dcebcfd33ea9c5ca3ed06e965c6fdfe74b7cf428

Observation f9ab448d-28a0-492f-ab65-61010ac9df2e · inbound

SEIF: Self-Evolving Reinforcement Learning for Instruction Following cites this paper.

SEIF: Self-Evolving Reinforcement Learning for Instruction Following Self-Alignment with Instruction Backtranslation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:56.000752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:51:09.514927Z digest=sha256:0f8f81f20113c5d8782c9b8d87dcb76b44cb5e8dc9e5a85b7ae02bd24edf53b4

Observation 1e79a372-756e-437f-aa08-ea2ce29de690 · inbound

PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs cites this paper.

PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs Self-Alignment with Instruction Backtranslation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.491824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T09:42:40.357949Z digest=sha256:60e475aac10dc7207fb6f13b4e7ca20bfa6e88bf98e825ed79bbb26d0cbe2034

Observation bc510ba5-6af0-4849-a58c-eb4c82a52661 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs Self-Alignment with Instruction Backtranslation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T08:29:26.695939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:29:26.695939Z digest=sha256:410a8bbfaef3650a7c58ce69fb9249c47a35779468ab0a5ace1259c3ee346463