Paper Citation Record · LEDGER

Lossless Token Sequence Compression via Meta-Tokens

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.00307.

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

pith.paper-citation-record.v1
2506.00307 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:14:30.282576Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T06:44:04.493625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:47:27.317442Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy4
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9221553-ea76-47ae-84c0-374a7b835547 · outbound

This paper cites Adapting language models to compress contexts.

Lossless Token Sequence Compression via Meta-Tokens Adapting language models to compress contexts

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:25.522663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bd80a06-de56-401b-a359-e5c6e36af44e · outbound

This paper cites Learning to compress prompt in natural language formats.

Lossless Token Sequence Compression via Meta-Tokens Learning to compress prompt in natural language formats

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:25.667638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d41701c-fe70-4ef4-8a44-a30a99dc1cf3 · outbound

This paper cites UniICL: An Efficient Unified Framework Unifying Compression, Selection, and Generation.

Lossless Token Sequence Compression via Meta-Tokens UniICL: An Efficient Unified Framework Unifying Compression, Selection, and Generation

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:14:31.069309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0eda27cb-3467-45c1-b0c5-3b684314a4a1 · outbound

This paper cites In-context Autoencoder for Context Compression in a Large Language Model.

Lossless Token Sequence Compression via Meta-Tokens In-context Autoencoder for Context Compression in a Large Language Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.038257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d54dbe-9cea-4123-a62e-f44cb3307b52 · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Lossless Token Sequence Compression via Meta-Tokens CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.122187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d95336f-2acc-4672-83ab-f461671f1728 · outbound

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

Lossless Token Sequence Compression via Meta-Tokens Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.266557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27065203-7717-4a98-9a2c-3d1abdc51a74 · outbound

This paper cites Long short-term memory.

Lossless Token Sequence Compression via Meta-Tokens Long short-term memory

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:32.045494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 46a2604c-b7c8-4a68-98c4-c86139737605 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens LoRA: Low-Rank Adaptation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.494764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0427e401-f35a-4281-b7c8-c7fb90d3b9e6 · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.584176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04842d1-f9f4-42cc-a4fc-9731001c7f75 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

Lossless Token Sequence Compression via Meta-Tokens LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.649414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fcd7c68-7826-47ea-a0a4-89a456b443ee · outbound

This paper cites Discrete prompt compression with reinforcement learning.

Lossless Token Sequence Compression via Meta-Tokens Discrete prompt compression with reinforcement learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.747807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca719f35-be5f-4958-865f-d3220a6b7ee5 · outbound

This paper cites Scaling Laws for Neural Language Models.

Lossless Token Sequence Compression via Meta-Tokens Scaling Laws for Neural Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:26.868395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbddda90-5c48-4764-9ee9-9bbb0d7ebe00 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

Lossless Token Sequence Compression via Meta-Tokens The power of scale for parameter-efficient prompt tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.009456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9abc0f7-4e3a-46d9-bfc6-eae1b3346e33 · outbound

This paper cites How do students use chatgpt as a writing support? Journal of Adolescent & Adult Literacy, 2024.

Lossless Token Sequence Compression via Meta-Tokens How do students use chatgpt as a writing support? Journal of Adolescent & Adult Literacy, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:31.815120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1aacc649-e483-421b-8b98-6d4f55fb8b33 · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation.

Lossless Token Sequence Compression via Meta-Tokens Prefix-tuning: Optimizing continuous prompts for generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.260705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3deea6-3218-4d7f-a50d-0ef26660a5bc · outbound

This paper cites Compressing context to enhance inference efficiency of large language models.

Lossless Token Sequence Compression via Meta-Tokens Compressing context to enhance inference efficiency of large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.378173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4f9f04-76a1-4e96-8940-f9de2ac3c9cb · outbound

This paper cites Prompt Compression for Large Language Models: A Survey.

Lossless Token Sequence Compression via Meta-Tokens Prompt Compression for Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.469882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08a17c38-6d27-44a4-8d2e-13424f9efd05 · outbound

This paper cites 500xCompressor: Generalized Prompt Compression for Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens 500xCompressor: Generalized Prompt Compression for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.618067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 753afd03-84e0-4329-840b-2669a6ce501f · outbound

This paper cites Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference.

Lossless Token Sequence Compression via Meta-Tokens Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.735279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b229f09-5265-49f3-8d39-652069a6c340 · outbound

This paper cites TCRA - LLM : Token compression retrieval augmented large language model for inference cost reduction.

Lossless Token Sequence Compression via Meta-Tokens TCRA - LLM : Token compression retrieval augmented large language model for inference cost reduction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.817728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4548edf7-0830-400b-99fb-d2ac8ce6b213 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

Lossless Token Sequence Compression via Meta-Tokens RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:27.901241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78ab5a1-1be5-48c9-b87d-8bae6b9d3c0e · outbound

This paper cites Learning to compress prompts with gist tokens.

Lossless Token Sequence Compression via Meta-Tokens Learning to compress prompts with gist tokens

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.008324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a449005e-46f0-4086-a812-121c7abd423e · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens OctoPack: Instruction Tuning Code Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.092042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad3b4654-ff9b-4a18-a4dd-08d836e0bf38 · outbound

This paper cites Training Software Engineering Agents and Verifiers with SWE-Gym.

Lossless Token Sequence Compression via Meta-Tokens Training Software Engineering Agents and Verifiers with SWE-Gym

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.193970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7834589b-7ae5-42c2-9a10-b13825ec2e6b · outbound

This paper cites LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Lossless Token Sequence Compression via Meta-Tokens LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.276503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc2aa01-0efd-4286-984f-54937473e45e · outbound

This paper cites Using the output embedding to improve language models.

Lossless Token Sequence Compression via Meta-Tokens Using the output embedding to improve language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:31.579673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation db0c97ab-c68d-4187-896c-51724358ff2d · outbound

This paper cites Bidirectional recurrent neural networks.

Lossless Token Sequence Compression via Meta-Tokens Bidirectional recurrent neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:14:31.333868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2554f203-01e5-4850-be7c-3a50c4507750 · outbound

This paper cites TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning.

Lossless Token Sequence Compression via Meta-Tokens TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.757576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7a11e8-fa37-429b-8916-9641decd5af2 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Lossless Token Sequence Compression via Meta-Tokens DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:28.867666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3db8e9-d316-44cd-852d-d0241e984291 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Lossless Token Sequence Compression via Meta-Tokens Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.027570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513505d5-7868-4ab6-89f9-8e3a7959e2bc · outbound

This paper cites Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment.

Lossless Token Sequence Compression via Meta-Tokens Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.141052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62951e7-98e5-42b9-b8e2-262261f52fbe · outbound

This paper cites Is ChatGPT the Ultimate Programming Assistant -- How far is it?.

Lossless Token Sequence Compression via Meta-Tokens Is ChatGPT the Ultimate Programming Assistant -- How far is it?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.237283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41a06a5-7621-4374-bbb3-96ef156476a1 · outbound

This paper cites Visualizing data using t-sne.

Lossless Token Sequence Compression via Meta-Tokens Visualizing data using t-sne

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.347201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14546f5-dd64-4a54-96de-cf65cb57e2fa · outbound

This paper cites Attention is all you need.

Lossless Token Sequence Compression via Meta-Tokens Attention is all you need

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.504040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d923931-460a-42b1-9d62-32265b3754ff · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Lossless Token Sequence Compression via Meta-Tokens Chain-of-thought prompting elicits reasoning in large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.678041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fea7c8d2-72b5-4957-a520-fad00302d1b7 · outbound

This paper cites Scaling embedding layers in language models.

Lossless Token Sequence Compression via Meta-Tokens Scaling embedding layers in language models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.853601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad16a02-f095-4694-b772-8c7b0a6f3dde · outbound

This paper cites AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:29.976307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293d88d4-6bc0-41e5-93fd-81208bc22271 · outbound

This paper cites LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models.

Lossless Token Sequence Compression via Meta-Tokens LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:30.164602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 853e204c-d461-41f6-8903-bd3e65ed74ee · outbound

This paper cites Ziv and A.

Lossless Token Sequence Compression via Meta-Tokens Ziv and A

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:14:30.282576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8416e4d6-413f-4073-a2d2-65699fc57ff2 · inbound

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction cites this paper.

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction Lossless Token Sequence Compression via Meta-Tokens

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:47:27.320539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.