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Paper Citation Record · LEDGER

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.13541.

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

pith.paper-citation-record.v1
2506.13541 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:05:31.666299Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22f9d0dc-9499-4f3b-8efa-16a0c2e7b8e0 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:05:32.406361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.389603Z digest=sha256:cd587466ff0cc195a9e8b15a68fed0e1c38efb8b6597da70e8e3aeac162f458a

Observation 51a6473d-afb6-4da2-95c3-131801ff3b53 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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no resolver link, observed 2026-08-15T20:05:31.400222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.400222Z digest=sha256:6e89d2534c2ee0f13afc7b82a8b13076b01a0d191441be293ee5be1887c058d7

Observation d91d82ac-7818-4992-b933-55c0dc9b1ffd · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-15T20:05:32.376983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.405830Z digest=sha256:b48b1de6b92e0f6e46211405d7b365e8457ab7565aaa828204648dedd7a77d79

Observation cd7bd16f-5103-42fd-baaa-cab7941d09b6 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-15T20:05:32.362435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.410779Z digest=sha256:bf4cdd9ec3ff3911956a5b4d002bb009bb53730050b23dc90956e325b038c883

Observation bdf77aca-09a1-4768-ae1e-daa1802263e9 · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 5

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no resolver link, observed 2026-08-15T20:05:31.415718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.415718Z digest=sha256:d3caaaf627dc0fc5f9f76f12275735addf3b5be5f6bf577960310cf65a5002e8

Observation cf5a0001-ffb0-47ae-b213-1d79213cb1fe · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:05:32.347369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.420380Z digest=sha256:daeb2ef4cfa56643f7fed6f91548968354589a9cab1d54a4597b3dfb437795d4

Observation 0ed633b5-ec1c-47b7-ade8-48dd1705c6a1 · outbound

This paper cites NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time

Reference 7

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no resolver link, observed 2026-08-15T20:05:31.425235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.425235Z digest=sha256:e0808863122b8dcc97b3482fed7dcacf0aae0de6faa6f04b8ad792edd135776c

Observation 150a552e-d1fc-4f64-8f2a-9c93ed0a6d1e · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Gonzalez, Ion Stoica, and Eric P

Reference 8

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no resolver link, observed 2026-08-15T20:05:31.430123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.430123Z digest=sha256:fd4dc5ee03def6bae72cb34924c24d6be5b368b8e47e4e64791514bf1af59251

Observation 82c7a29f-049f-41be-9c3b-c110fb6e91fc · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-15T20:05:31.434417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.434417Z digest=sha256:a8358236994654b85a08f7aa526b46903c133aad627d8c511cacd5a36f9398fd

Observation 44572637-25ee-487b-8b32-08989ed7efe2 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-15T20:05:31.444179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.444179Z digest=sha256:6212722eb8c6270e09976d9b7777fa985f6e1748fae1865cdc3df403faf84f1f

Observation a73011eb-b8f9-4d94-960e-3ead869ca6ad · outbound

This paper cites DeepSeek-V3 Technical Report.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization DeepSeek-V3 Technical Report

Reference 11

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no resolver link, observed 2026-08-15T20:05:31.448883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.448883Z digest=sha256:4d49fd252a337def4e50e911cbcf18c1c9a84936ed85548d1d332e3277206f02

Observation 4a6ac0df-9bd7-4d57-91dc-e205682368b8 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 12

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no resolver link, observed 2026-08-15T20:05:31.453688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.453688Z digest=sha256:e662a47e2cf0a316b733b18a9826bc57095023134a54c5970478235972afda0e

Observation 2cf343f9-4542-421f-8e20-31ea1be5f8e5 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-15T20:05:32.303601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.458349Z digest=sha256:f7dff0f58e6fc1984ddf03b556052a253bb84c24b2ff99aca9e11e48f6f471d5

Observation e4634f3f-0f32-482c-8cf6-63d5bdc4ec8e · outbound

This paper cites Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Reference 14

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no resolver link, observed 2026-08-15T20:05:31.462841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.462841Z digest=sha256:523c6fab71cb8511e907ffdff8a609087bfa63cb5915f1bda6a44d364689af69

Observation 80d41f08-a09f-44f3-9db3-4918deb6341c · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

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no resolver link, observed 2026-08-15T20:05:31.467522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.467522Z digest=sha256:863b448c0ec9486aebbb8d3a8ec6070892ec8cf135d87bc4f1e1b91cfb9bb82f

Observation 0a90bd23-98e7-459b-b2ba-b7c48535462f · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:05:32.289155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.471861Z digest=sha256:e684d3db31681ba116626c22f33543354b2d1ec1f559bb6738ec69abb5d6b051

Observation fb3442b2-0481-4b03-9702-9f9087e05872 · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 17

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no resolver link, observed 2026-08-15T20:05:31.486387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.486387Z digest=sha256:9bed579f4d6300a7113b0c5b115493e58aaff112b7d12b7f8d7be3b8628e26da

Observation 29b58917-0b34-4786-8ad4-431c417058ad · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-15T20:05:32.275015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.503522Z digest=sha256:2f6b6286816b6271c0ed2d448152715c199c7e001f76bbcf31d41ce29c0b7ebf

Observation cb408aae-dfcc-4d72-9729-0dd3e9cd5654 · outbound

This paper cites The MiniPile Challenge for Data-Efficient Language Models.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization The MiniPile Challenge for Data-Efficient Language Models

Reference 19

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no resolver link, observed 2026-08-15T20:05:31.523559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.523559Z digest=sha256:c3b85615ba2f5f0e8f54d1b272ab7951cb13f6cb992ae7028eb0ea0e34982e05

Observation eed1e0af-bbe6-448d-9db7-f1c625cb4521 · outbound

This paper cites Distillm: Towards streamlined distillation for large language models.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Distillm: Towards streamlined distillation for large language models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:32.260395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.547652Z digest=sha256:b2a20f07e0061cde36fbb75b91f2cfd4d4a7bfe9e1d76d5c723529be8c7f84b4

Observation b1400d55-4512-4349-8948-dd617294612b · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:05:32.245152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.572041Z digest=sha256:1e50bd240d5f221c868eeef55354bf1f4e7c73bce19a83820a9bc235f4a31914

Observation 5db373b7-46cb-47fe-9d69-c23bf24a6fd4 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.576902Z digest=sha256:b48657a00ff603a81aa832b841c3dd718522b20551fa549553c64087e0fea715

Observation f690f2fb-ea4c-4de8-b653-1ad4155e817f · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-15T20:05:32.232098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.581358Z digest=sha256:f038517ce89edf6fd12d065c426ba84861123578975f1d27b71bd3d15d9749a1

Observation 9b61bbfa-df50-464b-ab05-28d1066cfc9c · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization SnapKV: LLM Knows What You are Looking for Before Generation

Reference 24

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no resolver link, observed 2026-08-15T20:05:31.585947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.585947Z digest=sha256:195f33cd698809e05d68ad8a4e4a73bac329e68950a00e0ec49cc26bd70118c1

Observation 19e813a4-378a-4ef0-94bb-27445b38d082 · outbound

This paper cites Pointer Sentinel Mixture Models.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Pointer Sentinel Mixture Models

Reference 25

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no resolver link, observed 2026-08-15T20:05:31.590710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.590710Z digest=sha256:65323a50e74f03ec79ecf3c8ac3ef26503d1b28b9a36eaaf327ff346a12c8d00

Observation 106432a1-6e8b-4bd2-8e90-2b0c259e0941 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-15T20:05:32.218882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.595681Z digest=sha256:3323ee06d8d6381de384f72059c903233edc783c386f7212da833052e1fabea1

Observation 5a983f92-8482-43b8-9d27-e5521e52ff76 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 27

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no resolver link, observed 2026-08-15T20:05:31.600148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.600148Z digest=sha256:24d02b0b18ddcf90c70588bc48bfab327b53b0af4845a4fc79a29ee19b8d05a0

Observation 1ee21b18-083a-4c74-bcec-e66d553ce57a · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-15T20:05:32.205147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7a8b00c8-e6bd-464e-a399-b954c2be086a · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-15T20:05:32.190914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.609682Z digest=sha256:72a4c192af6af87f638a2ba0c7f57d6d57cb2ab10d2ef815f825229c8de1bf67

Observation 6f8ecf78-63bf-461e-bc25-34cbe1576fe4 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-15T20:05:32.174933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.614188Z digest=sha256:5cdb9675283eb1fdde033d5b641a6b9d2512af1bf6924e1f57c93ee7653c8d9a

Observation 949e80b9-08c3-4453-9b34-4767c0a0ad4b · outbound

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

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization LLaMA: Open and Efficient Foundation Language Models

Reference 31

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no resolver link, observed 2026-08-15T20:05:31.618326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.618326Z digest=sha256:c2df83d2d661554c0fb66da9b0f708478f0f8b61072d0dd0c6003f6477c644e5

Observation 1f555ad7-3f81-4d55-8f49-659d81fb7a46 · outbound

This paper cites Attention Is All You Need.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Attention Is All You Need

Reference 32

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no resolver link, observed 2026-08-15T20:05:31.622675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.622675Z digest=sha256:f5398d489c0b4271e116e6dd21fbb35cd4953e4c350e8879e18b4f0dd604f73f

Observation a5a9f747-2389-4d26-a411-fdf8081ee5a0 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-15T20:05:32.160669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.627198Z digest=sha256:af1b2855fe6e2ce697a3135c7819dea3ab8f640b42ab0c5d1889793b7b783fb4

Observation 31b1ff6b-7e2c-4959-a628-6cf75bc87fc2 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 34

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no resolver link, observed 2026-08-15T20:05:31.631560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.631560Z digest=sha256:ca625260a67647d0d356edeec62ca26af70294e8cba670d8e8062a97a6bcf3a5

Observation f9d7fb50-b75e-4583-9a67-7d0e16bb91c5 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-15T20:05:32.145059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T20:05:31.636202Z digest=sha256:12540b2a7721bc6806e8cb38753371fca76310ea0d2537edcefc940fc6f581f3

Observation c34669e9-943d-4f16-a5f0-7a93d53c858b · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-15T20:05:32.129144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8c3e294d-b36e-4c4d-909c-064cf5a542f5 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization TinyLlama: An Open-Source Small Language Model

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:31.645549Z

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Unavailable: canonical work link unavailable.

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Observation 9e5c5b25-3196-4588-8f27-ccc4be72a43d · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization OPT: Open Pre-trained Transformer Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:31.650412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07f7870a-54f2-4b9c-a682-a0d3cdacb867 · outbound

This paper cites an unresolved cited work.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:05:32.113740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4e5f724b-9e46-495c-888a-7fda1017ab42 · outbound

This paper cites DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:31.660385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:31.660385Z digest=sha256:e0807852310db37ebd513bb8e26d7353789951a9d256202a03172c955ffcfe46

Observation e6f68839-ee51-4381-8175-0f8082aaccd6 · outbound

This paper cites Dai, Zhifeng Chen, Quoc V Le, and James Laudon.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Dai, Zhifeng Chen, Quoc V Le, and James Laudon

Reference 41

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:05:31.786451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e93e48a6-9435-4b56-ac0a-fed45b3c2f42 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:31.439165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 732a1a50-0158-4b83-ac0a-2a7b6ea6d7ce · outbound

This paper cites InThe 2023 Conference on Empirical Methods in Natural Language Processing.

Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization InThe 2023 Conference on Empirical Methods in Natural Language Processing

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:05:32.392001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Pith citing papers

No inbound Pith citation observations are available.