Paper Citation Record · LEDGER

Learning by Distilling Context

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2209.15189.

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

pith.paper-citation-record.v1
2209.15189 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:15:10.349346Z

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

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6315a156-3a7e-4e8f-8087-f5ed01a82869 · inbound

Large Language Models Can Self-Improve cites this paper.

Large Language Models Can Self-Improve Learning by Distilling Context

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:00:48.263694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a76589d-0a1a-49f6-b3ab-3bce8130e323 · inbound

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions cites this paper.

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions Learning by Distilling Context

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:59:30.789754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c63712a-c751-46c4-8876-d99ce7a1cfde · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Learning by Distilling Context

Reference 297

Resolution: verified exact; arxiv_id, observed 2026-05-17T14:43:29.847490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea039472-5f86-438a-b025-4c12b6a6c08a · inbound

In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning cites this paper.

In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning Learning by Distilling Context

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T13:25:28.916202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01f8517-3b96-4754-82d4-d4b0d43904c4 · inbound

Deliberative Alignment: Reasoning Enables Safer Language Models cites this paper.

Deliberative Alignment: Reasoning Enables Safer Language Models Learning by Distilling Context

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T10:44:16.304209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d99a623-8062-4512-ac61-9079a499acdd · inbound

Foundations of Large Language Models cites this paper.

Foundations of Large Language Models Learning by Distilling Context

Reference 228

Resolution: unresolved; no resolver link, observed 2026-08-10T20:14:59.266163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e9db7c-3374-4f60-b279-0a9bc212c816 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents Learning by Distilling Context

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:38.311449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8246c5-08e8-412e-bdcf-56627b82295c · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Learning by Distilling Context

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:34.304670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c544393c-4aa6-4ab5-8fa6-30f90d333d8f · inbound

Essential-Web v1.0: 24T tokens of organized web data cites this paper.

Essential-Web v1.0: 24T tokens of organized web data Learning by Distilling Context

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:46.861099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda6bd76-14b3-4ca1-ba50-712198c84b62 · inbound

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes cites this paper.

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes Learning by Distilling Context

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:38.518193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50903d1d-fcc2-4a71-87ca-4b368a71f632 · inbound

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation cites this paper.

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation Learning by Distilling Context

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:06:01.325654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b05a7e0-2cd5-41ea-9ae2-83ab31691c93 · inbound

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning cites this paper.

Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning Learning by Distilling Context

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:53.811574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 390f6538-ff00-4411-b80c-8a8ba392cbc8 · inbound

Tuning Qwen2.5-VL to Improve Its Web Interaction Skills cites this paper.

Tuning Qwen2.5-VL to Improve Its Web Interaction Skills Learning by Distilling Context

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:51:36.168174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc112bd6-1564-4118-b3f7-1c480e323da7 · inbound

Near-Future Policy Optimization cites this paper.

Near-Future Policy Optimization Learning by Distilling Context

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:54:48.621807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23e15da8-ae9f-4e89-a077-959b1c3a9c0f · inbound

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts cites this paper.

Rethinking Dense Sequential Chains: Reasoning Language Models Can Extract Answers from Sparse, Order-Shuffling Chain-of-Thoughts Learning by Distilling Context

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:50:57.396716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d3e8055-9993-4172-b246-d8d7ee956d9c · inbound

CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization cites this paper.

CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization Learning by Distilling Context

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.461256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f30f395-0463-46f1-8409-6420710e6aed · inbound

Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why cites this paper.

Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why Learning by Distilling Context

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:11:27.211928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe2f5de1-d1ce-4a95-88cd-496aadba5cd3 · inbound

From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation cites this paper.

From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation Learning by Distilling Context

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:27:02.004969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d283293-324b-431b-a553-37de5b1c0d88 · inbound

VSPO: Vector-Steered Policy Optimization for Behavioral Control cites this paper.

VSPO: Vector-Steered Policy Optimization for Behavioral Control Learning by Distilling Context

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:43:44.111000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2e52020-fd83-41d3-9150-d734f9a25543 · inbound

Self-Supervised On-Policy Distillation for Reasoning Language Models cites this paper.

Self-Supervised On-Policy Distillation for Reasoning Language Models Learning by Distilling Context

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:43:21.837694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c684b1c3-bc07-4859-bff8-e44a0c0ec5e9 · inbound

Context Memorization for Efficient Long Context Generation cites this paper.

Context Memorization for Efficient Long Context Generation Learning by Distilling Context

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:43:12.621794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aead6aed-ce7e-46bc-9f79-d599385a5c80 · inbound

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs cites this paper.

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs Learning by Distilling Context

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.844225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c02f2b1f-98f7-48ae-a4be-57807067c3f1 · inbound

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning cites this paper.

Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning Learning by Distilling Context

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:11:17.794411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0a87535-1268-4e94-a7ce-4f26e4217fc5 · inbound

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference cites this paper.

Do Language Models Need Sleep? Offline Recurrence for Improved Online Inference Learning by Distilling Context

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:43:59.454603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9f489a76-dc34-4a8f-8804-8a86246c3e36 · inbound

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks cites this paper.

ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks Learning by Distilling Context

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T18:02:27.323880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a27e4b2b-54bf-489c-97b7-9ffcc22ee17e · inbound

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents cites this paper.

Rethinking Continual Experience Internalization for Self-Evolving LLM Agents Learning by Distilling Context

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:56:47.807293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df9f27f8-938f-4796-91dc-a98b8b99672d · inbound

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models cites this paper.

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models Learning by Distilling Context

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.682443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a5df5e2-4795-432a-a14d-fe02e61050d1 · inbound

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning cites this paper.

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning Learning by Distilling Context

Reference 205

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:17:48.415598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8b6433a-3038-4a7e-a9f2-ffffa1b77373 · inbound

Doc-to-Atom: Learning to Compile and Compose Memory Atoms cites this paper.

Doc-to-Atom: Learning to Compile and Compose Memory Atoms Learning by Distilling Context

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:37:57.065542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 59ec0084-5f5e-4a98-b02b-9789f1e586ad · inbound

PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization cites this paper.

PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization Learning by Distilling Context

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:38:29.012031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1e7fea36-569e-4851-a290-89d780eaa74c · inbound

Teaching agentic AI to learn expert reasoning for rare disease diagnosis cites this paper.

Teaching agentic AI to learn expert reasoning for rare disease diagnosis Learning by Distilling Context

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T13:53:50.979339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dd966a1-a03d-4b16-8ed1-aaccc18458a8 · inbound

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning Learning by Distilling Context

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:34:37.890032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ad6097b-b6b7-458b-870b-41f3ce6d15c3 · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Learning by Distilling Context

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:05:43.607060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c08528f8-3569-4cad-b504-2a86a7fb4596 · inbound

Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation cites this paper.

Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation Learning by Distilling Context

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:56.170129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ccca42a2-76c5-4d5d-b4ce-89280ded27cd · inbound

Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing cites this paper.

Epistemic Goggles: A Pretrained Module that Induces an Epistemic Frame via Gradient Editing Learning by Distilling Context

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:31.104704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 705eea4c-835b-4c44-8dac-9d3fa8fca4d3 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Learning by Distilling Context

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.163623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f316d1a-e5dd-451f-915c-2364c8772c32 · inbound

Can a Language Model Learn Facts Continually in Its Weights? cites this paper.

Can a Language Model Learn Facts Continually in Its Weights? Learning by Distilling Context

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T07:36:43.499258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4310bc-91e5-42bf-8c39-a8b170fc4602 · inbound

Sample-Efficient Learning from Agent Experience cites this paper.

Sample-Efficient Learning from Agent Experience Learning by Distilling Context

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:43:21.932131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d82d3a-535f-425f-8fd3-486c7f062d7e · inbound

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems cites this paper.

Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Learning by Distilling Context

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T08:17:26.367813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c8895e-7140-4b0d-9c91-a653f644cb73 · inbound

Listen, Do Not Copy: Internalizing Audio-Grounded Scaffold Context for Robust Omni-Model Speech Understanding cites this paper.

Listen, Do Not Copy: Internalizing Audio-Grounded Scaffold Context for Robust Omni-Model Speech Understanding Learning by Distilling Context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:19:33.044773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bad19ac-b647-4b4c-ab95-a94ab1ce032d · inbound

Masked Distillation: Internalizing the Chain-of-Thought in Language Models cites this paper.

Masked Distillation: Internalizing the Chain-of-Thought in Language Models Learning by Distilling Context

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:24.977221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f34e8e4d-f88c-43da-a22c-1dd43c616bee · inbound

Flux-OPD: On-Policy Distillation with Evolving Contexts cites this paper.

Flux-OPD: On-Policy Distillation with Evolving Contexts Learning by Distilling Context

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T20:13:02.033825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d702b95c-08f7-4a5f-ae0c-2adbb5ce5d7b · inbound

Learning What to Remember: Test-Time Training via Context Distillation cites this paper.

Learning What to Remember: Test-Time Training via Context Distillation Learning by Distilling Context

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T23:14:10.159095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d95894-4d46-4742-b75e-b27fa2000d45 · inbound

Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned Policy cites this paper.

Instruction-Conditioned Exploration for Reinforcement Learning with Self-Distillation to an Unconditioned Policy Learning by Distilling Context

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:15:16.462866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8d01c5-2bd5-42d1-9e20-50c0d9be4d9a · inbound

Agentic Reinforcement Learning with Self-Distilled Reward Shaping cites this paper.

Agentic Reinforcement Learning with Self-Distilled Reward Shaping Learning by Distilling Context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T23:15:50.848819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d93ccb00-eaa5-42b8-b393-a84488cab151 · inbound

Subliminal Learning is Non-Semantic Distillation cites this paper.

Subliminal Learning is Non-Semantic Distillation Learning by Distilling Context

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T00:24:40.201293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c605b8-ecdb-4f37-8f80-590cb4478592 · inbound

Privileged Solutions or Context-Induced Teacher Behavior? Dissecting On-Policy Self-Distillation cites this paper.

Privileged Solutions or Context-Induced Teacher Behavior? Dissecting On-Policy Self-Distillation Learning by Distilling Context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:10.349346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d355fa74-b0e1-4ff6-a014-c3ee91c4fbb9 · inbound

Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation cites this paper.

Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation Learning by Distilling Context

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T05:57:51.046808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.