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Paper Citation Record · LEDGER

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2501.05336.

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

pith.paper-citation-record.v1
2501.05336 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:17:48.477368Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:40.994014Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T16:18:41.305365Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a6da174d-da9b-4e13-9ca7-56f21f64405f · outbound

This paper cites GPT-4 Technical Report.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:17:48.326797Z digest=sha256:8b8fcaa93714866cf1849edf17605de52f99083ef0e8b096cac08ff796912676

Observation 6fa3a719-7a41-489a-b03f-2cf266674ba4 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

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source=arxiv_source observed=2026-08-10T21:17:48.332344Z digest=sha256:e9525790c3baaa341e5e265cfc11a2e5d8fa7268a69ea2085f4a408acaa36124

Observation 4a3c74c6-474b-45d7-83b5-ff9fe01ccacc · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Constitutional AI: Harmlessness from AI Feedback

Reference 3

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source=arxiv_source observed=2026-08-10T21:17:48.336739Z digest=sha256:d2be1dc045d114da5b624820581230b358f621d55a3101ba93dde2730f1795e7

Observation e054cc71-f857-4a29-84a1-efc37b332d2f · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 4

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source=arxiv_source observed=2026-08-10T21:17:48.341490Z digest=sha256:437011052960cd982a37fc59c3c150d880257daf86127dab7aabde4d9c5bad55

Observation ad61c7fc-d85c-49e7-81da-f8611b996278 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Accelerating Large Language Model Decoding with Speculative Sampling

Reference 5

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source=arxiv_source observed=2026-08-10T21:17:48.345976Z digest=sha256:303730abdca6c9e5b3cbe1c18e34ab8b0687b12cb6c19ecde5acc4759a18baec

Observation 7ce4412a-fe81-4f74-9b6c-c51a2c00af81 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-10T21:17:49.022071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.349729Z digest=sha256:e8aeb152b8efd676567a36414267b98df6b82588f02c635ba83dc9088b1bd4ce

Observation a59e4510-baf9-429b-9091-6d6b106f1dd8 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 7

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source=arxiv_source observed=2026-08-10T21:17:48.353858Z digest=sha256:081750da5eb89bceb7a3cc85ae00aefa0b7464063796f53df6aa1f10d935e75c

Observation 1260721e-6475-4d51-97b5-cdd300341e1b · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 8

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source=arxiv_source observed=2026-08-10T21:17:48.357975Z digest=sha256:500130f4cd062095967b3e02120ec10349d1011a33e234e87d6f3c70e716ec06

Observation 3446f874-57d9-4bc8-8ada-35d63eda7c91 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-10T21:17:48.362237Z digest=sha256:3e6561a462e7ce752aea6e5ef8b90e161db68b381f5dc8c606b29bcc95f12627

Observation f69de06e-6852-4e8d-b6c5-203461c6455c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

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source=arxiv_source observed=2026-08-10T21:17:48.365708Z digest=sha256:25c04e124697ca8e42702c9fc5b27937e45113d7e153efef621b3a8cef8ec16a

Observation 342205a9-e4a0-464a-ad7b-061112892eb9 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Training Compute-Optimal Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-10T21:17:48.369464Z digest=sha256:1e1247ac30825dc46023e4b3e0c1b34a8ccf27ef78c76f01bec37ea468420c01

Observation ca7fca25-f973-4442-8753-2cbd6d5c9d2e · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 12

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source=arxiv_source observed=2026-08-10T21:17:48.373165Z digest=sha256:7f4d0db7feefd43ee5cad1dee584735d7a66ad398276382af4c8fc3a87cb5cfd

Observation 19939c44-5785-4c7c-8502-85546760a297 · outbound

This paper cites Aligner: Efficient Alignment by Learning to Correct.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Aligner: Efficient Alignment by Learning to Correct

Reference 13

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source=arxiv_source observed=2026-08-10T21:17:48.377346Z digest=sha256:b0570f8c8889d7b3e7fb2ece8157a1ac0977cfac1d1cc70219a9a253ff1ba7c3

Observation 7447808b-12ec-4dbe-8aa2-aa4544fb5fcf · outbound

This paper cites PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Reference 14

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source=arxiv_source observed=2026-08-10T21:17:48.381225Z digest=sha256:93c375738470a48dc946110a88eb4ff963c5e789d4666ebed5ff6b4f1d095bbc

Observation 4a57b5c4-65ac-49e4-ad00-04664a651e51 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.385073Z digest=sha256:7f1e08d0b84bee8af38b345930d10a965c8b9430f310a4227e431fd5c90c4b11

Observation 2211493a-2287-4f45-86e1-8372ecd867e8 · outbound

This paper cites AI Alignment: A Comprehensive Survey.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction AI Alignment: A Comprehensive Survey

Reference 16

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source=arxiv_source observed=2026-08-10T21:17:48.388911Z digest=sha256:bc7c87664f1a9c829a8b781637f91cdad9b97b221d86f68b499dbfdfb9d02a2c

Observation 2c07beb4-9e51-4112-bf3e-6d89d0dab6d1 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-10T21:17:48.392664Z digest=sha256:d95cdab7db4137e5338465e2c00c785cf3a23b88c57cb7d4d82ef4e7aef1f141

Observation 08d72886-ec01-4b9a-a0e3-aa02e463e154 · outbound

This paper cites Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback

Reference 18

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source=arxiv_source observed=2026-08-10T21:17:48.396266Z digest=sha256:40953b33f6a63452da9e5ee35971ed857d763780d977ffa83c646cecce544c77

Observation 24dd88aa-6b7b-4469-92ce-9f16b7c4504e · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.399701Z digest=sha256:083f9fb0b2bdddc7c038f7d3118c90767aff99dfc4f70f6e7eae90c7832fb839

Observation 5a907746-e0a9-403e-9c0a-c95274900c03 · outbound

This paper cites RAIN: Your Language Models Can Align Themselves without Finetuning.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction RAIN: Your Language Models Can Align Themselves without Finetuning

Reference 20

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source=arxiv_source observed=2026-08-10T21:17:48.404429Z digest=sha256:74f8666b769a6a43a0d600e4498793c49d5bc8047571aa5f2a7542c82adef420

Observation efdfe643-d800-4bc3-926e-b785708aa619 · outbound

This paper cites Tuning Language Models by Proxy.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Tuning Language Models by Proxy

Reference 21

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source=arxiv_source observed=2026-08-10T21:17:48.408445Z digest=sha256:b958e6bb2c0816259ee1e3115a3943f90b3422dc578f48db9f90d55dc7e2634e

Observation 270ecd74-9a9d-425f-9550-277b830f1893 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.413268Z digest=sha256:f06ace07dd06aedfdb614a48d9fda31b6de0824c1ef4db7a754d2bb40361db96

Observation 5712b729-b7ad-40a5-a051-8536a310b593 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-10T21:17:48.417139Z digest=sha256:22e899f65266ed54ed8b6200a3e87a0e94ebbf6631a84a8e8d6e3970ab697f7e

Observation 930255ce-f0ad-4ad5-83d1-859839d0f0fa · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-10T21:17:48.421015Z digest=sha256:6a5b48b6c333d754d654e2dbab6e94bf92f49512f9cc6085ea245411205fa7ae

Observation 6fec4a37-ec7e-4cce-b63a-f2ce12ec2e76 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.424679Z digest=sha256:037a1049c79f717de9774b574ec273e585a97a8809f86300a1bfd256689f0cde

Observation f1cd7881-be02-4f5d-8283-2c759f956cc6 · outbound

This paper cites D.; Ermon, S.; and Finn, C.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction D.; Ermon, S.; and Finn, C

Reference 26

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source=arxiv_source observed=2026-08-10T21:17:48.428296Z digest=sha256:c9d051bca0147c5b5ba51ec43f0b47120ab8221f01964ad1372287100412a779

Observation 016a4214-4837-49e6-88cc-c14bda940b60 · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.431917Z digest=sha256:65f2e93cf8c193514851fe6545f58f723f0ab305b18821704b26a27aa2d6553c

Observation fff2f66c-a95b-4cc2-9460-d8b22b8513eb · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Gemma: Open Models Based on Gemini Research and Technology

Reference 28

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source=arxiv_source observed=2026-08-10T21:17:48.435777Z digest=sha256:8795b0bde8f84f5d30de0d41a529fb85a9b6e8762da5e9a120355885fc80dd0c

Observation 74bfd026-bc54-4006-bd54-9d9cd8099c2a · outbound

This paper cites an unresolved cited work.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T21:17:48.439386Z digest=sha256:5e059d4255a7c2c3ccd96ba82417a59ae95348c5f43e00b0fb5d506b8d837c1f

Observation 53eed32f-cd55-46ec-bcf2-e803328b65c4 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction LLaMA: Open and Efficient Foundation Language Models

Reference 30

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source=arxiv_source observed=2026-08-10T21:17:48.442787Z digest=sha256:46c50d1f22bb51b1110334f759df87bc80e3b024f14eb736140894f19cf0123b

Observation bbf24638-05bf-4e95-b1f0-221dd7475190 · outbound

This paper cites Steering Language Models With Activation Engineering.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Steering Language Models With Activation Engineering

Reference 31

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source=arxiv_source observed=2026-08-10T21:17:48.446369Z digest=sha256:0bb41912deee63e8467f6508ecb967d51219e3f3939420e96ba9e97b153d7444

Observation e8d93a1d-941b-47ec-8cd3-1e06be084563 · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Generating Sequences by Learning to Self-Correct

Reference 32

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source=arxiv_source observed=2026-08-10T21:17:48.452551Z digest=sha256:441c9d784fdd97a04675ce529d72d5eadb48caff281af00db61afeb8e115671c

Observation 70856efa-bfaf-41f1-923c-1027284ce3af · outbound

This paper cites SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Reference 33

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source=arxiv_source observed=2026-08-10T21:17:48.456547Z digest=sha256:9e719f437b7e447548a0170da1d363fc424051923658e9d770cf119bb61287c3

Observation c441ad91-c389-47f3-a5c8-eba44c526b52 · outbound

This paper cites FUDGE: Controlled Text Generation With Future Discriminators.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction FUDGE: Controlled Text Generation With Future Discriminators

Reference 34

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source=arxiv_source observed=2026-08-10T21:17:48.460739Z digest=sha256:7ae19d833c93caf4c9ce0057efe162c8685561faca44bef855524c3e51609270

Observation 91ab0e14-6cbf-4b3a-be17-e5fed12338e3 · outbound

This paper cites MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

Reference 35

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source=arxiv_source observed=2026-08-10T21:17:48.464930Z digest=sha256:61836877ead67bdc550db1d134a487ff11b9a5753ba6f4c07f2d3baf3af9af1a

Observation efb44ffc-af17-46f6-84ea-f3dba8775b7f · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction Representation Engineering: A Top-Down Approach to AI Transparency

Reference 36

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source=arxiv_source observed=2026-08-10T21:17:48.469138Z digest=sha256:ef816760bd92436ee5e7c4b497d97b0e31906fc8518d6bbda3593f2dad0f2f63

Observation c2032cfe-a4c5-4d97-a394-fd2751f276c1 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction , " * write output.state after.block = add.period write newline

Reference 37

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source=arxiv_source observed=2026-08-10T21:17:48.473384Z digest=sha256:e479f9ffb56832bc16a1d1fd3b2e6c782f2b6d5d119c1b6c79e68d032b5065a2

Observation 8a3183ce-c093-4174-819b-83ab99110be9 · outbound

This paper cites write newline.

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction write newline

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:17:48.477368Z digest=sha256:934be1c963ded7546f9aba630b1e11a116a9d4b5c2822f59ce2bf7ef53ae6f4c

Pith citing papers

Observation 0b851f48-7b4a-4e9b-b8fd-cfa53694c1bb · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction

Reference 106

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local_arxiv, observed 2026-08-09T16:18:41.310790Z

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source=pdf_text observed=2026-08-09T16:18:40.994014Z digest=sha256:a0bcf7e0f7f1dfb2f3517f5c353e741d2b6c5f44bb9fcf7160097bcf36a7a070