Paper Citation Record · LEDGER

ComMer: a Framework for Compressing and Merging User Data for Personalization

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.03276.

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

pith.paper-citation-record.v1
2501.03276 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:12:16.502153Z

measured 35 of 35 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy11
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 021b023c-fdbd-4848-969e-c9dedf3d543e · outbound

This paper cites write newline.

ComMer: a Framework for Compressing and Merging User Data for Personalization write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:14.966192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c9f761e-4ccd-4301-8b86-5a3a42e36719 · outbound

This paper cites E., Hume, T., Carter, S., Henighan, T., and Olah, C.

ComMer: a Framework for Compressing and Merging User Data for Personalization E., Hume, T., Carter, S., Henighan, T., and Olah, C

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:21.332989Z

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.

Observation e5b8a6df-19e6-4a6e-9d5c-0d0375782021 · outbound

This paper cites an unresolved cited work.

ComMer: a Framework for Compressing and Merging User Data for Personalization Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.076126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb86d66-b0c3-4199-b45c-0ab6e49665a6 · outbound

This paper cites Adapting language models to compress contexts.

ComMer: a Framework for Compressing and Merging User Data for Personalization Adapting language models to compress contexts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.114755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 395253f9-1b01-4b8a-a855-bf90fe90c56e · outbound

This paper cites Task Arithmetic with LoRA for Continual Learning.

ComMer: a Framework for Compressing and Merging User Data for Personalization Task Arithmetic with LoRA for Continual Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.164757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c485ff8-1023-447c-bdb2-b3b6d35812c0 · outbound

This paper cites P er LTQA : A personal long-term memory dataset for memory classification, retrieval, and fusion in question answering.

ComMer: a Framework for Compressing and Merging User Data for Personalization P er LTQA : A personal long-term memory dataset for memory classification, retrieval, and fusion in question answering

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:21.056448Z

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.

Observation 5c91a8d0-72dd-462b-8f32-a5dc84146841 · outbound

This paper cites M., and Hegde, C.

ComMer: a Framework for Compressing and Merging User Data for Personalization M., and Hegde, C

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:20.943915Z

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.

Observation 20b8fd41-b86c-4832-84b1-39f7f68e6ff1 · outbound

This paper cites Toy models of superposition.

ComMer: a Framework for Compressing and Merging User Data for Personalization Toy models of superposition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.301449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f8c674-df6b-48c8-a027-e3fb6af308a2 · outbound

This paper cites In-context autoencoder for context compression in a large language model.

ComMer: a Framework for Compressing and Merging User Data for Personalization In-context autoencoder for context compression in a large language model

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:20.704837Z

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.

Observation f7777833-67f5-4c92-af94-1f4e579b6a97 · outbound

This paper cites Arcee ' s M erge K it: A toolkit for merging large language models.

ComMer: a Framework for Compressing and Merging User Data for Personalization Arcee ' s M erge K it: A toolkit for merging large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.384160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41278bb-1144-46c6-a607-2cf631f3b5b8 · outbound

This paper cites J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

ComMer: a Framework for Compressing and Merging User Data for Personalization J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.436225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52c49e5-e0ea-4191-85b7-94a94d7a34fb · outbound

This paper cites LLML ingua: Compressing prompts for accelerated inference of large language models.

ComMer: a Framework for Compressing and Merging User Data for Personalization LLML ingua: Compressing prompts for accelerated inference of large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.484755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8193b7-5ef4-4ec2-b17c-449e5df780bd · outbound

This paper cites L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression.

ComMer: a Framework for Compressing and Merging User Data for Personalization L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:20.434966Z

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.

Observation 65cab608-3beb-4f32-aefb-f7d5614aedfd · outbound

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

ComMer: a Framework for Compressing and Merging User Data for Personalization The power of scale for parameter-efficient prompt tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.594852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e756ac02-e2ed-4170-bdf6-3a5faf1c738d · outbound

This paper cites Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models.

ComMer: a Framework for Compressing and Merging User Data for Personalization Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.664186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f490623-7731-42dc-bde6-bafe1d0c7572 · outbound

This paper cites Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixtures.

ComMer: a Framework for Compressing and Merging User Data for Personalization Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixtures

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T22:12:18.664758Z

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.

Observation 1d2a07a2-5ef5-4087-bd33-5cfc753cbccf · outbound

This paper cites ROUGE : A package for automatic evaluation of summaries.

ComMer: a Framework for Compressing and Merging User Data for Personalization ROUGE : A package for automatic evaluation of summaries

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.753548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77421c5b-a8a2-44d7-9b80-55d487f391c9 · outbound

This paper cites LLMs + Persona-Plug = Personalized LLMs.

ComMer: a Framework for Compressing and Merging User Data for Personalization LLMs + Persona-Plug = Personalized LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.794894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a755c95c-7162-4372-bc80-2c8002571b95 · outbound

This paper cites F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., and Liang, P.

ComMer: a Framework for Compressing and Merging User Data for Personalization F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., and Liang, P

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:15.835351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3852d4e8-075f-420a-b797-2ef14469394c · outbound

This paper cites Learning to compress prompts with gist tokens.

ComMer: a Framework for Compressing and Merging User Data for Personalization Learning to compress prompts with gist tokens

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:20.164785Z

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.

Observation 8ad7c6cf-196e-45e1-beee-f079e3c6c969 · outbound

This paper cites Towards modular LLM s by building and reusing a library of L o RA s.

ComMer: a Framework for Compressing and Merging User Data for Personalization Towards modular LLM s by building and reusing a library of L o RA s

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:20.000996Z

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.

Observation 7625702f-4b63-42a8-a00b-a980c8907128 · outbound

This paper cites J., and Veitch, V.

ComMer: a Framework for Compressing and Merging User Data for Personalization J., and Veitch, V

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:19.835230Z

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.

Observation 2db13f10-aa9c-440f-a765-551efc534756 · outbound

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

ComMer: a Framework for Compressing and Merging User Data for Personalization The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.004765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b15198f-4be9-49b6-b18e-745e741a66de · outbound

This paper cites Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models.

ComMer: a Framework for Compressing and Merging User Data for Personalization Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.057237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88145b34-56ea-447b-87ea-b8afc7ca9242 · outbound

This paper cites Optimization methods for personalizing large language models through retrieval augmentation.

ComMer: a Framework for Compressing and Merging User Data for Personalization Optimization methods for personalizing large language models through retrieval augmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.086925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6aab6e-807a-4db9-8dab-27f3136d9283 · outbound

This paper cites L a MP : When large language models meet personalization.

ComMer: a Framework for Compressing and Merging User Data for Personalization L a MP : When large language models meet personalization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.126085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a6b790-5815-447c-b909-886bc56d3dd6 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

ComMer: a Framework for Compressing and Merging User Data for Personalization Ziplora: Any subject in any style by effectively merging loras

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:19.655385Z

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.

Observation 784dd537-e86f-40f5-ac80-b6037bbb4170 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

ComMer: a Framework for Compressing and Merging User Data for Personalization Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.186598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c9b07ff-cbbd-4255-8d34-12ef0ea7da0d · outbound

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

ComMer: a Framework for Compressing and Merging User Data for Personalization Gemma: Open Models Based on Gemini Research and Technology

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.224753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85845222-0365-467a-af45-ef221c675086 · outbound

This paper cites Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies.

ComMer: a Framework for Compressing and Merging User Data for Personalization Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.274751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a7115cc-7120-4399-8a97-a98679032b88 · outbound

This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

ComMer: a Framework for Compressing and Merging User Data for Personalization Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.314772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105b93d9-18ff-4bc2-b770-a2df472c0fb4 · outbound

This paper cites Mixture of lo RA experts.

ComMer: a Framework for Compressing and Merging User Data for Personalization Mixture of lo RA experts

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:19.415267Z

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.

Observation 9f7a0eb8-472e-4eef-af04-3a3051b2bad5 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

ComMer: a Framework for Compressing and Merging User Data for Personalization Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:12:19.234756Z

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.

Observation 2c58fcf9-3969-446c-bae8-2e75cae6f798 · outbound

This paper cites Efficient Prompting via Dynamic In-Context Learning.

ComMer: a Framework for Compressing and Merging User Data for Personalization Efficient Prompting via Dynamic In-Context Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.454808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c15bb0d-8d36-4d3a-9c7f-c03743d58a94 · outbound

This paper cites HYDRA: Model Factorization Framework for Black-Box LLM Personalization.

ComMer: a Framework for Compressing and Merging User Data for Personalization HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.502153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.