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Paper Citation Record · LEDGER

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression

As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.20613.

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

pith.paper-citation-record.v1
2507.20613 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:30:43.161888Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdf01905-5def-41d3-a335-98eb60a01886 · outbound

This paper cites Mistral 7B.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Mistral 7B

Reference 1

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no resolver link, observed 2026-08-06T13:30:42.804887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:42.804887Z digest=sha256:9344d7c28d669ed9757ad93974309da384343aaff2685541f180b19eca9bbce6

Observation ee72836e-d53f-44e3-8084-3344d37c347f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2

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no resolver link, observed 2026-08-06T13:30:42.818922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76e04a05-3988-4000-ad42-35a10a60b91f · outbound

This paper cites Visual Instruction Tuning.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Visual Instruction Tuning

Reference 3

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no resolver link, observed 2026-08-06T13:30:42.830113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:42.830113Z digest=sha256:7d395391638888d5dae0dbfd004ec63d29232457599a6f10f15cca372e323b3f

Observation 2b53ea00-5b6d-4bc8-a389-8fda88643ab1 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 4

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unresolved
no resolver link, observed 2026-08-06T13:30:42.835441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08a05469-5afa-4b1b-a210-d604c3ce094a · outbound

This paper cites Detkds: Knowledge distillation search for object detectors,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Detkds: Knowledge distillation search for object detectors,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.564011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.848701Z digest=sha256:37793ac330bd1b7bdf98d4d431ce711637cc308f00d0059e1000a033bb45d795

Observation b00d138d-d1e7-42b1-aa05-4f384ca7dda1 · outbound

This paper cites Kd-zero: Evolving knowledge distiller for any teacher-student pairs,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Kd-zero: Evolving knowledge distiller for any teacher-student pairs,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.504365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.859896Z digest=sha256:1844e270a4d7c6130adf949dac8fe9745685a2a91b8d0f584948c3a079678402

Observation 6bc3437b-95bd-4437-91f6-17a4d352250f · outbound

This paper cites Diswot: Student architecture search for distillation without training,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Diswot: Student architecture search for distillation without training,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.481187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.865792Z digest=sha256:76b968d3879d9d9d17b5d7b8cc311f5987a5d37f2f6726a4d438399ec975a3ef

Observation 5c3634d0-805f-40c1-9b16-7a142ce2564a · outbound

This paper cites Automated knowl- edge distillation via monte carlo tree search,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Automated knowl- edge distillation via monte carlo tree search,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.458637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.881674Z digest=sha256:430b489d6657e26496dd339422b02e8f19dc33346fc788263a6515c788644f66

Observation 30a7d02f-3c98-4aa6-afc8-91d37284b4a4 · outbound

This paper cites Norm: Knowledge distillation via n-to-one representation matching,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Norm: Knowledge distillation via n-to-one representation matching,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.424740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.888328Z digest=sha256:c132152c0b14ab8cc5062096941968486c336a2c23f2fc17fb1848de1d1335a2

Observation 44690b78-098d-483f-96e6-04a1cf32dd4c · outbound

This paper cites Self-regulated feature learning via teacher-free feature distillation,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Self-regulated feature learning via teacher-free feature distillation,

Reference 10

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raw_fallback, observed 2026-08-06T13:30:44.395837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.893891Z digest=sha256:f0886f843b07e2807762ce6673e4d53018193497c3983af89d9aa1ae488b6b4b

Observation e5f5ec44-c517-427b-b91e-8cbfbd6d4253 · outbound

This paper cites Attnzero: efficient attention discovery for vision transformers,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Attnzero: efficient attention discovery for vision transformers,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.348391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.914276Z digest=sha256:f8995eda3d9825efcc12e101f6f9d7db450996dfb503016bbefb07459fc65106

Observation af463892-66e4-4904-b57e-6206f954b3c3 · outbound

This paper cites Auto-gas: Automated proxy discovery for training-free generative architecture search,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Auto-gas: Automated proxy discovery for training-free generative architecture search,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.316113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.936291Z digest=sha256:abbddbffb7864f51b67b82cbc67f8a2f56049249f90fd6db110a5b8c3c37a38f

Observation 0bd06b3c-4571-4d1b-b54d-4eb843d0e6a3 · outbound

This paper cites Discovering sparsity allocation for layer-wise pruning of large language models,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Discovering sparsity allocation for layer-wise pruning of large language models,

Reference 13

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raw_fallback, observed 2026-08-06T13:30:44.281817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.947862Z digest=sha256:ebd840ebd64129d0a80759992d52a3c8d758826be75d6f650104b3a852afccae

Observation f973f67c-2c8f-42b1-9d52-217e93f28980 · outbound

This paper cites Als: Adaptive layer sparsity for large language models via activation correlation assessment,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Als: Adaptive layer sparsity for large language models via activation correlation assessment,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.250051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.964751Z digest=sha256:d43c03bba107ab5c6a90682313b0532dce167d8bea4dcf4a1a410bc4e7d8997f

Observation 59f1ad14-95a1-4808-9923-36e1529f45bc · outbound

This paper cites Pruner-zero: Evolving symbolic pruning metric from scratch for large language models,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Pruner-zero: Evolving symbolic pruning metric from scratch for large language models,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.219538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:42.979810Z digest=sha256:fa150648c0b903bf0e9a2ef82f0a9c15df5a124d1d0d9b74455fe2c09124d618

Observation 18b23f2f-8d47-4c27-bb43-70182d023917 · outbound

This paper cites Gpt-4 technical report,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Gpt-4 technical report,

Reference 16

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unresolved
no resolver link, observed 2026-08-06T13:30:42.987883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:42.987883Z digest=sha256:09b391505ce3de3ba4689cf4d423b0acc006177767fb7e691b8c2cbe6db61bea

Observation c0b3b97a-4dfd-4d33-90a9-d17ef05d05f3 · outbound

This paper cites A Survey on Multimodal Large Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression A Survey on Multimodal Large Language Models

Reference 17

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no resolver link, observed 2026-08-06T13:30:42.992956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:42.992956Z digest=sha256:e0433f87d7a1ea479a28803cf38b9bd0f4922be7858d8e4da28ab793945b8a42

Observation bcd21370-34b8-465e-b48a-c9e6d7f23fde · outbound

This paper cites MM-LLMs: Recent Advances in MultiModal Large Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 18

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no resolver link, observed 2026-08-06T13:30:42.998293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:42.998293Z digest=sha256:ddb06c083df07a775cf73e8fba3e4173da37fba75284194256d77ad4a9f643ff

Observation e9923c97-ad20-4ae3-82c5-2a9dab66f20f · outbound

This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Reference 19

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no resolver link, observed 2026-08-06T13:30:43.003466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.003466Z digest=sha256:151bc36db546b14c6f2da06d6a6dacdd80e150a7d2924dabdf81b55c89d5d6e9

Observation 0faf0ac8-3e2c-4cd0-9e9f-25b3603d3bec · outbound

This paper cites A simple and effective pruning approach for large language models,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression A simple and effective pruning approach for large language models,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.155052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.014745Z digest=sha256:373b05290342c53af1beba0100f4b5617de3d345b0e65bf8600c87119cc956c8

Observation f2d54b24-6f97-4cc4-8a80-9fbb479816d7 · outbound

This paper cites LLM-Pruner: On the Structural Pruning of Large Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression LLM-Pruner: On the Structural Pruning of Large Language Models

Reference 21

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no resolver link, observed 2026-08-06T13:30:43.024746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.024746Z digest=sha256:e01b7f290f00c12de6419de596320d7e425d35a7b5cab88d7b81e901981033dd

Observation 5b1e39e2-0511-4df5-baec-b541a4928c86 · outbound

This paper cites EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization

Reference 22

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verified exact
local_arxiv, observed 2026-08-06T13:30:43.438184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.040608Z digest=sha256:0399804232115924e6cdde6a8f167a25424a1db3ca96a788a0ab11aa93cb1a97

Observation ac3a04cf-5ebe-4896-8822-7e0bd39d986d · outbound

This paper cites Stbllm: Breaking the 1-bit barrier with structured binary llms,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Stbllm: Breaking the 1-bit barrier with structured binary llms,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.126834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.049978Z digest=sha256:615a99acf915afea71184f67d9d61a91cc962512254f099a45c9f9b4fb43d525

Observation d3fc8da3-71dd-4de2-9dad-c79de0617d28 · outbound

This paper cites Quantization and training of neural networks for efficient integer- arithmetic-only inference,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Quantization and training of neural networks for efficient integer- arithmetic-only inference,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.089521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.058548Z digest=sha256:e1b20d80a140881e6cf848b19e79312e98025ab18f6d29943b10a2fbf5f2ea2d

Observation e9a7c1fc-1d1d-4332-b169-efcceb261fe6 · outbound

This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Reference 25

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no resolver link, observed 2026-08-06T13:30:43.067164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.067164Z digest=sha256:80dd4f76cc80b3addb959de55e83ec49fb94432fc6f13e87b32ce3cb4a0fb08a

Observation 3ab89baa-e06b-4dcd-b7ca-8de29aed7b1a · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 26

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unresolved
no resolver link, observed 2026-08-06T13:30:43.074900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.074900Z digest=sha256:a397b01107da235064026de7574ce91e1f0ec1327f6a6547c178138da12ba7b4

Observation 64d66b4e-b3d5-4e2a-82a3-153fa88c4895 · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Instructblip: Towards general-purpose vision-language models with instruction tuning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.048696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.084478Z digest=sha256:547d7db123551600cb3c9690f9f2bdfe22aba519a6747c5e882ea4804962dddb

Observation 007fcc78-5189-4675-9292-a30cca02c11b · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 28

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unresolved
no resolver link, observed 2026-08-06T13:30:43.097201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.097201Z digest=sha256:7bd58eea43ba1c616523592c03ee061e35c9268eeb5ee995b712da84f239312e

Observation 5131ace4-7dca-40ab-b163-ec079b984a33 · outbound

This paper cites Introducing idefics: An open reproduction of state-of-the-art visual language model,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Introducing idefics: An open reproduction of state-of-the-art visual language model,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:44.021511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.108585Z digest=sha256:3a20ccbe3d3b9a3fe0146f47bdc01ebc5fc00716924e8638b74c8f70610bfffb

Observation 35f1e5dc-0271-429a-982b-be695bf1c1d7 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 30

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unresolved
no resolver link, observed 2026-08-06T13:30:43.115817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.115817Z digest=sha256:3c2f9dd07be2362177a074fd9d170a1b042ed55cd35980cd33e81a0ed09ed459

Observation 09e0b65b-74cd-468f-8ae7-20dc420a63bd · outbound

This paper cites Improved baselines with visual instruction tuning,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Improved baselines with visual instruction tuning,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:43.976289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.124967Z digest=sha256:a4c729f064239a5839804886a7018f7ec580129d626e45cab38301f178763810

Observation 231d81d1-1a62-48dc-9187-53818ebfa90b · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Making the v in vqa matter: Elevating the role of image understanding in visual question answering,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:43.930249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.132206Z digest=sha256:25806ce450f563f7c19fb7b1b091262dd2979c615b8b6079e583e8cb18497a7e

Observation 4ddcab95-3a88-47f2-93e2-3e8e6f01496f · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T13:30:43.884804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.137596Z digest=sha256:b4d8950cc311fbc7b979c86b331258f4563c222d8751feae5b3cfa8489d45664

Observation c0e2264f-066b-4b86-9a53-4fd91feaf5aa · outbound

This paper cites Towards vqa models that can read,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Towards vqa models that can read,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:30:43.859286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.148367Z digest=sha256:57c436118a55d6f9ecfddbd02eec95c8cde6cc5a969f511b9240bf9a64ed793b

Observation c43d2c17-4b78-4c1c-a36d-db4b97d7bb6d · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Evaluating Object Hallucination in Large Vision-Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T13:30:43.156497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:30:43.156497Z digest=sha256:82538230c233e76b7b3b68b5e2a5b1902075f07af02e85ee5d5f97a9d6e71f62

Observation abfca8b3-18f9-4ca2-858c-8900646299d9 · outbound

This paper cites Pointer sentinel mixture models,.

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression Pointer sentinel mixture models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T13:30:43.822970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:30:43.161888Z digest=sha256:e488123d830c21b680fb0dfa115848e27ce5f1052c33cd69a4624d4642f2d1d3

Pith citing papers

No inbound Pith citation observations are available.