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Paper Citation Record · LEDGER

Large Language Model as Token Compressor and Decompressor

As of 5 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 4 inbound Pith citation observations for arXiv:2603.25340.

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

pith.paper-citation-record.v1
2603.25340 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:54:15.090677Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T23:13:34.852488Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:11:27.612828Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy44
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c58c298d-0eeb-4f9e-aee3-0770823cf5aa · outbound

This paper cites Peters, and Arman Cohan.

Large Language Model as Token Compressor and Decompressor Peters, and Arman Cohan

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.767006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:fbc708e9b3041dab5f1e3f5376e923882cc15674431828e2b2ca3a697c447080

Observation 519cbe9a-a0c6-4363-b0e4-f8bb775896cc · outbound

This paper cites Token merging: Your vit but faster.

Large Language Model as Token Compressor and Decompressor Token merging: Your vit but faster

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.814584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:5962f81c620ff4ec757375ab333bf2ff03954120ee3c4e1af7bb5b096c4b5a35

Observation bfa214ae-2d9b-4cea-a46f-0dbcc9fe8574 · outbound

This paper cites Hudson, Ehsan Adeli, et al.

Large Language Model as Token Compressor and Decompressor Hudson, Ehsan Adeli, et al

Reference 3

Resolution
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raw_fallback, observed 2026-05-15T10:40:28.771607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:2fff2e961c3edf4e0b2e66cde2ccd03f38a1fcf6ffedcc23edd3d45c647908ec

Observation 16419067-246a-456a-a20a-bdd122a7e869 · outbound

This paper cites an unresolved cited work.

Large Language Model as Token Compressor and Decompressor Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-15T10:40:28.822922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:b087bc4bb7a6b5cfc9df2244f0a08dab369e48810bb8d0dacec26e5ff3b49c09

Observation 935e5fc8-06f5-4ab2-9c74-4bb6f67cad9e · outbound

This paper cites Adapting language models to compress con- texts.

Large Language Model as Token Compressor and Decompressor Adapting language models to compress con- texts

Reference 5

Resolution
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raw_fallback, observed 2026-05-15T10:40:28.779467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:db27c2d505c2e8d1ac3fbd2f06b77c4fbba4b685f424d54fee2596e3a3ea98b5

Observation 11a7ec4a-81f9-4f05-992d-ee4d78548830 · outbound

This paper cites Generating long sequences with sparse transformers.

Large Language Model as Token Compressor and Decompressor Generating long sequences with sparse transformers

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.799282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:c95600538d4d127c10c17f132ad89fa61dd74461ed1033d3426ecafb8f5f3dde

Observation 8c89e5b0-8fbc-46ae-8b29-fd52afc4bfff · outbound

This paper cites an unresolved cited work.

Large Language Model as Token Compressor and Decompressor Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-15T10:40:28.806783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:1328065c4f056039370e1a279b07d183a131716209ee2d4d3bfa4517165a5a0b

Observation 7693bf6f-9a95-4761-aa7b-07cca46c774a · outbound

This paper cites Smith, and Matt Gardner.

Large Language Model as Token Compressor and Decompressor Smith, and Matt Gardner

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.826250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:d9f2144a512e120bc9c913ca8ffe364c85e0cc29de21678157505facd9e03daa

Observation 26d1968f-c0ee-46c2-ba5a-1fc6f942f781 · outbound

This paper cites Language mod- eling is compression.

Large Language Model as Token Compressor and Decompressor Language mod- eling is compression

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.785443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:2589fd5141833c37f414332d37fc774aab391a66fcef3e4498ff0066060659c2

Observation b61960ad-c0b2-4d39-a545-e88b7ad51e2b · outbound

This paper cites Maskllm: Learnable semi-structured sparsity for large language models.

Large Language Model as Token Compressor and Decompressor Maskllm: Learnable semi-structured sparsity for large language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.795823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:b7667dba5bb0aae78bd42a94cbff20dc4987fa1438308bf50bb700e68908bdef

Observation 38228a98-ceff-4e67-9efa-f4aebb8eea75 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity.

Large Language Model as Token Compressor and Decompressor Switch transformers: Scaling to trillion parameter models with sim- ple and efficient sparsity

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.746918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:46d7a93b4bd817af60e240be7681c5ad2e7652713a524bf3cbc3e539fcbf6ac7

Observation 08998853-b437-42b4-8521-b241202ea5f1 · outbound

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

Large Language Model as Token Compressor and Decompressor In-context autoencoder for context compression in a large language model

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.841141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:26123ba70e961afa6ab29dbed999cfad8cc742cdbe166f70bf617f680e6e6c3a

Observation 226cf730-57f5-4134-8cbd-db12b9b027c1 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Large Language Model as Token Compressor and Decompressor Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.776432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:d450b3776683f67d635fe1af90f150bcd12ee8ba491b11420e09780c68bf69ea

Observation 86009044-f55c-40c9-8e82-706c6f04eb49 · outbound

This paper cites Longllmlingua: Accelerating and enhancing llms in long context scenarios via prompt compression.

Large Language Model as Token Compressor and Decompressor Longllmlingua: Accelerating and enhancing llms in long context scenarios via prompt compression

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.764325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:8ac7062e8cb0a196cac888d8b780bf33c4e1294fa636072c76d9a1b4a6786d06

Observation 6dfeb115-ca7e-4c18-a51e-190811cc8607 · outbound

This paper cites Discrete latent variable representations for low- resource text classification.

Large Language Model as Token Compressor and Decompressor Discrete latent variable representations for low- resource text classification

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.760990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:40759d9fddf86475cfd73302eb4eb0e44582504eeea29c2381aa290b4a9aa25c

Observation c84b6f5d-3c90-4284-b5a3-80e1957ae727 · outbound

This paper cites Learned token pruning for transformers.

Large Language Model as Token Compressor and Decompressor Learned token pruning for transformers

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.788569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:16e87b8d7f05327737526a1f57a681763c5b9af87ee271b477bffb685b145c5e

Observation 1c74c70c-b548-4fb9-8c07-66a8156b0dd4 · outbound

This paper cites Re- former: The efficient transformer.

Large Language Model as Token Compressor and Decompressor Re- former: The efficient transformer

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.774002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:556a454be6efa068e067f80ead32fbb0c0f90016f187c26e6c25905c560c7143

Observation 7c3b7b7d-8822-467c-bdfb-15f61b1b0175 · outbound

This paper cites The narrativeqa reading comprehension chal- lenge.

Large Language Model as Token Compressor and Decompressor The narrativeqa reading comprehension chal- lenge

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.844366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:5e92503cfab8178e0c533bd8b8e50b1a13d307c13caa8b1f3afe2ea903454917

Observation 3344a454-02a5-4efd-a7d6-01f5d8d427de · outbound

This paper cites Compact: Common-token optimized model pruning across channels and tokens.

Large Language Model as Token Compressor and Decompressor Compact: Common-token optimized model pruning across channels and tokens

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.757519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:dac2ae1ece2fd9251d439fb96114408c33bee6945d54035fea72bb52ef89c3f6

Observation 2f03c1b8-13ca-4a30-889f-522f041ab7d0 · outbound

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

Large Language Model as Token Compressor and Decompressor Compressing context to enhance inference efficiency of large language models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.847589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:f9994f26d3e5176e9829cf911dce37738a6381389ad0d0880db856df219d514f

Observation a31d3c4f-fef6-4272-a325-1187ae0eabdd · outbound

This paper cites 500xcompressor: Generalized prompt compression for large language models.

Large Language Model as Token Compressor and Decompressor 500xcompressor: Generalized prompt compression for large language models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.753990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:59033771456f19c34840a746982b2de8fcdf800b0e77c600ca08bc7e2f8837d2

Observation f820403c-5482-4aae-b61b-42dfaafd60e6 · outbound

This paper cites Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, and James Glass.

Large Language Model as Token Compressor and Decompressor Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, and James Glass

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.782340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:5ccc579574f02049ca93f7b07166902c79aa0968957b96eeabccd1e688dcd779

Observation 2f44c6cd-7f68-4859-909b-7ae7ee292f1d · outbound

This paper cites Discrete semantic tokeniza- tion for deep ctr prediction.

Large Language Model as Token Compressor and Decompressor Discrete semantic tokeniza- tion for deep ctr prediction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.830447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:9c44b5d5d95023c23f3122f03f58870915901896169430c22bf98db3126b51ee

Observation 24bea3ad-d48d-4e35-b038-2527c1cd998e · outbound

This paper cites Catanet: Effi- cient content-aware token aggregation for lightweight image super-resolution.

Large Language Model as Token Compressor and Decompressor Catanet: Effi- cient content-aware token aggregation for lightweight image super-resolution

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.837985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:e3b7e39216311b09939432fe6359d5b8ca08fa718f6f1c8c62cb1356a3f86ed7

Observation 857cd4d4-15dd-4e20-bfd5-fad1179aad70 · outbound

This paper cites Swin trans- former: Hierarchical vision transformer using shifted win- dows.

Large Language Model as Token Compressor and Decompressor Swin trans- former: Hierarchical vision transformer using shifted win- dows

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.819474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:22d427a8d2963ba1cd5854cfdae2e79fc57217705235bb22fc1031b36a5f8ef2

Observation d7938063-0fb3-4fe7-a0a0-30b97b28dfd8 · outbound

This paper cites Learning to compress prompts with gist tokens.

Large Language Model as Token Compressor and Decompressor Learning to compress prompts with gist tokens

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.803151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:ca54d63c6b6ea03fcc362598ac6c0e3a0111137bdc87e0a6a375eb9f03482f35

Observation c0281aa2-77f9-45b6-a5fd-00c8ca33c74d · outbound

This paper cites Bow- man.

Large Language Model as Token Compressor and Decompressor Bow- man

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.769479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:7837929b4281989b8547b6ee32e17b0ae98766299436c9625421052e47b29150

Observation 99ad9ce2-5d77-497e-8f12-cf133db38c31 · outbound

This paper cites Rae, Anna Potapenko, Siddhant M.

Large Language Model as Token Compressor and Decompressor Rae, Anna Potapenko, Siddhant M

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.810397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:b46a9bf46086eaefa9f1ae7f49cb4dd4c0e2db8f13cd675f83e10c9c9bb7dd58

Observation 8f36dc6a-5f4c-44ff-a2b3-aebaea2c88b7 · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification.

Large Language Model as Token Compressor and Decompressor Dynamicvit: Efficient vision transformers with dynamic token sparsification

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.750544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:097d83af399556e259c3ff291289b16a7ec34fd48badb79d1918dbd689232319

Observation 32d630d5-fc80-489c-bab9-533055f005ce · outbound

This paper cites Efficient content-based sparse attention with rout- ing transformers.

Large Language Model as Token Compressor and Decompressor Efficient content-based sparse attention with rout- ing transformers

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.851412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:14a26dfbd590339fbe6d500d7aba5eb2f62e42ea4e518acb9dc4e4a95c9d14cf

Observation 3f94b8d6-81a4-428d-92ca-ba091945ae0f · outbound

This paper cites Learning by distilling context.

Large Language Model as Token Compressor and Decompressor Learning by distilling context

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.834140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:a96b66fd6cc0f6559f5ec80303fbbf48f72f39039dbe41cf10b6adf6afc2f42e

Observation b22510ec-6159-428b-aa47-318ab45ea70a · outbound

This paper cites Hier- archical context merging: Better long context understanding for pre-trained llms.

Large Language Model as Token Compressor and Decompressor Hier- archical context merging: Better long context understanding for pre-trained llms

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.792326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:dbc1aab9f24c09363e735b974e43ed6ec4ab80b37e37d23fd8f2c0fd0102aa19

Observation 7548f112-d143-43fd-b73c-d61a6980fd0b · outbound

This paper cites Gonzalez, and Raluca Ada Popa.

Large Language Model as Token Compressor and Decompressor Gonzalez, and Raluca Ada Popa

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.854118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:b9409b61acdac4b599f131c98ded734ea2bc764bc262622420ed39111d7b8ac8

Observation 0c140e6a-5125-4c05-aa89-a91cbdffba0f · outbound

This paper cites Llama: Open and efficient foundation lan- guage models.

Large Language Model as Token Compressor and Decompressor Llama: Open and efficient foundation lan- guage models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.879119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:b6626643d66b95a9db1844536df9a9e75820d9b2db72b8ae7efe00197db92762

Observation bc9a7307-37f2-4517-bdba-884b8336f47f · outbound

This paper cites Neural discrete representation learning.

Large Language Model as Token Compressor and Decompressor Neural discrete representation learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.875994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:2da22b29751f1e5b6518eb8be6263061eb49a36bdc0904bcc5aac56b5c542eba

Observation 5cbde0cd-7437-4af6-806d-c2e15e4d7abd · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Large Language Model as Token Compressor and Decompressor Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.882447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:a1087ec9e8f54e1d15c05c50c2d6d750a2d43bcb2fa131450e46c67f13a742da

Observation 40df7bcc-323d-4cea-978a-300de954dff3 · outbound

This paper cites Chi, Tat- sunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Large Language Model as Token Compressor and Decompressor Chi, Tat- sunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.885296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:a29e679ff723ab71f607200ccdfd2ac5d55dd694f36ae8b49d2e29635c36df3e

Observation c85b24ee-72f3-4f2c-b142-cdccf57a859d · outbound

This paper cites Qwen3 technical report.

Large Language Model as Token Compressor and Decompressor Qwen3 technical report

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.887994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:f60ad9c4870e157a6f15045db9175bdd4a6a956eed3d2ef155f49144a49107ac

Observation 5698ada9-5f25-4f55-8051-36dcfca55b2d · outbound

This paper cites S 2ft: Efficient, scalable and generalizable llm fine- tuning by structured sparsity.

Large Language Model as Token Compressor and Decompressor S 2ft: Efficient, scalable and generalizable llm fine- tuning by structured sparsity

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.890560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:d029b2239b1455e4f32aab61ecf69ad921108ecf6482ce2de5b801a25ba784bd

Observation f07a06cd-6365-4234-b916-998c167ac5f1 · outbound

This paper cites Cohen, Ruslan Salakhutdinov, and Christo- pher D.

Large Language Model as Token Compressor and Decompressor Cohen, Ruslan Salakhutdinov, and Christo- pher D

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.893329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:fa6fe24d47e17433d8f6b3f69df34c6b7bf790cd0204778ed032aac04bb0e9b7

Observation 3d37dab4-be0b-4612-b8e6-62eb17e65926 · outbound

This paper cites an unresolved cited work.

Large Language Model as Token Compressor and Decompressor Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-15T10:40:28.895893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:54d0fee0467f83c5271fa71ae07c42ab0e13476f25264ef6c1d0652b2fca22a3

Observation adb4e4f1-63e4-4695-bf20-627d1d86c2e3 · outbound

This paper cites Big bird: Transformers for longer sequences.

Large Language Model as Token Compressor and Decompressor Big bird: Transformers for longer sequences

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.872263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:88ed5a7230f7da42e2f582bd970249f7ab33333729b84a3d3d67dffbe65ae9e9

Observation dc492d62-9750-4100-b64a-a6b6b2787c21 · outbound

This paper cites Long context compression with acti- vation beacon.

Large Language Model as Token Compressor and Decompressor Long context compression with acti- vation beacon

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.869118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:500589bf8ac0ebd6131d85dc69ff225ddf846ece1bbb6ffaf2be000071fd6c14

Observation 46a9e74f-30e5-4bf4-9b98-b44770a2a6f9 · outbound

This paper cites Un- supervised discrete sentence representation learning for in- terpretable neural dialog generation.

Large Language Model as Token Compressor and Decompressor Un- supervised discrete sentence representation learning for in- terpretable neural dialog generation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.862924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:a7eb8e46642a9d57b49ce5f7f062526437f86b1c465b881677c67e029ff0cfdd

Observation c9f71f41-4829-4085-a7b4-0b65b930124b · outbound

This paper cites Aim: Adaptive inference of multi-modal llms via token merging and pruning.

Large Language Model as Token Compressor and Decompressor Aim: Adaptive inference of multi-modal llms via token merging and pruning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.866261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:6cd4363d1dd40ebdaeb389d55c7ac6bd810384216d221bf28361c42cd991ede7

Observation 9696ea97-7aad-462d-bd28-c7cd7a6c33c1 · outbound

This paper cites Discrete autoencoders for sequence models.

Large Language Model as Token Compressor and Decompressor Discrete autoencoders for sequence models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.859490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:c59422851e88d1fa33ea08539ce2b1d7143448005a9a24d3284ff7dc4d1669f0

Observation afb56f1a-fbcb-4366-896a-2b63a5e25fc6 · outbound

This paper cites Fast de- coding in sequence models using discrete latent variables.

Large Language Model as Token Compressor and Decompressor Fast de- coding in sequence models using discrete latent variables

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:40:28.856908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T00:54:15.090677Z digest=sha256:c111999baa960b88ee1aa049dd82d3a286116bee1bdbeaabd2ef24045af13c2d

Pith citing papers

Observation cc6ed436-3244-450a-b9f5-82d88bc2bebf · inbound

Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction cites this paper.

Seeing Further and Wider: Joint Spatio-Temporal Enlargement for Micro-Video Popularity Prediction Large Language Model as Token Compressor and Decompressor

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:55:25.088077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-09T23:13:34.852488Z digest=sha256:63b11af4bc159daf3dce981ad7b71a54320e0ee5ce03106d1d57f931f06e67e6

Observation 636041bb-3b8e-475e-9f22-76b574fa0b99 · inbound

HotComment: A Benchmark for Evaluating Popularity of Online Comments cites this paper.

HotComment: A Benchmark for Evaluating Popularity of Online Comments Large Language Model as Token Compressor and Decompressor

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:55:25.088077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T16:08:51.838574Z digest=sha256:5b1e152fff6ce43be8e2c96ddb6ca267c7509ea0044c5317c66537daef8e86f4

Observation c9aa32b0-57fc-421f-bd28-5fbd3faa43d9 · inbound

OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction cites this paper.

OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction Large Language Model as Token Compressor and Decompressor

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:55:25.088077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T14:00:15.854344Z digest=sha256:98702979fce99f8993fb4a14c1da77744bd8cf7cd98599a7bf320e8c35ca4df9

Observation 4c94b710-44ba-4448-942c-8c3f104d4df8 · inbound

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding cites this paper.

CurEvo: Curriculum-Guided Self-Evolution for Video Understanding Large Language Model as Token Compressor and Decompressor

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:55:25.088077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-07T11:52:26.828633Z digest=sha256:44eb9316a9419f1695a6ed9d6f443360b852961f83969bbcde4326f8e405f578