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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 2026-08-08T06:32:00.761636+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.

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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

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.848701Z digest=sha256:ac0329da80887385160b5353029cccab12896fed4a622cdb47ca1679ebc28fee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.859896Z digest=sha256:1af6cf9622bc9f75da259d096c84d9bc83932cb3b752a4364faeab089b42d59f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.865792Z digest=sha256:d7920ffa201b277bdf58859eb82bbabf1e0e50744a652daacd09fcbcb8678dd4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.881674Z digest=sha256:4da65a9eb085e82b714dd1d61be68624e870062ba4750fa999820c3c622f6c59

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.888328Z digest=sha256:6ff0a7c9e9fd54e9b7bd756557a2a815478957aa1ddd8fc5c8947373a7f1b22c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.893891Z digest=sha256:f8eabf74f816a1adef1e74326f034651daa6404a2642a41eb4643a2f3bc45622

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.914276Z digest=sha256:2658ddfbcd432819d9a86223a191dce506e5e1359ae7eb5d63deabd9479ad677

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.936291Z digest=sha256:0b3654a76cb6bb481ddd6602d601c016283726e02fe798e60f27792d2e31628b

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.947862Z digest=sha256:9028e1c84b520b66f4f18d37ab1a4cc4a6e6d056c3fa7a5cce308f12afd56938

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.964751Z digest=sha256:85313b539691a6cf0de84876adf1d0faaf655a1a07df26727f6be6821ff44352

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:42.979810Z digest=sha256:c070dfb402abe983441c3b17e32b8e7223a1e0a03b76c66f34e301de8af96510

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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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=sha256:521a7b4aa783160014f018d9ad9d212d795d1b2014f6fa1549319a5a05a08df6

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.014745Z digest=sha256:0b58d71d31f8d76e6b9093ea5cf600f83b6fa99b1be2ef81275d3d8cb5439e74

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.040608Z digest=sha256:c7205a22d4beada36518897be613584323e32d3b080bb946d4b5aab9753e93db

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.049978Z digest=sha256:741b88dfca68b2688aaa1f2a3112850359da1297b09874d75e89ae054bc09686

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.058548Z digest=sha256:644131c4d5d17870aebed89b316519f21906e5ffc4c35760b81fa0edc0f0e9fc

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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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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.084478Z digest=sha256:5a0236bd74bcc07ce30f021fcc2f54439957679033b5a4f9faf1e8bb8f16a74c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.108585Z digest=sha256:0fb3864f708bc883775d8a0b361d19d933bd2f7b40466e9200e36a033d662f86

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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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.124967Z digest=sha256:851ece85d2f36b16b042411b2473c081ccc46fce3527617e42c02708f2139723

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.132206Z digest=sha256:5c7abe4c19c528b9f25cc565a2ccd41d725c0ae525ec378d2ee7e071d3e2b6c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T13:30:43.137596Z digest=sha256:6c53b66a2b34157fdb59f3961e45de274356ce035b7922ace45aed5fb6225775

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.