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Paper Citation Record · LEDGER

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.27269.

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

pith.paper-citation-record.v1
2607.27269 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:55:32.111352Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

32 of 32 outbound references displayed

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  • unresolved32
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dce8b48-557c-4fdc-99d7-57c32cf29382 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Advances in Neural Information Processing Systems , year=

Reference 1

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source=arxiv_source observed=2026-08-01T10:55:31.968520Z digest=sha256:1e0ed08a2d206c4f87da03971e8027a2e1ee0f042ca31f1be547b8df5066a65c

Observation 869e81ac-bdfc-4b88-9743-af1130368554 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 2

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source=arxiv_source observed=2026-08-01T10:55:31.973517Z digest=sha256:f9976c50115be917c5ed87eb41d6970efad269946efb7305e52b27db54c40d78

Observation 0de30cf1-1afe-4cbe-b520-ef5dc8e921bb · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Fast Transformer Decoding: One Write-Head is All You Need

Reference 3

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source=arxiv_source observed=2026-08-01T10:55:31.979714Z digest=sha256:1b7ccd0ecc1cbe91ab1049c1ad73a5be6dfcb263efb3b0a29d729efa6029a920

Observation 6616368e-a4ce-4b48-b739-603eb8d42ad9 · outbound

This paper cites Neurocomputing , volume=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Neurocomputing , volume=

Reference 4

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source=arxiv_source observed=2026-08-01T10:55:31.984834Z digest=sha256:46a2eb82d9a9b267240e3c2316095e0bee4597a56893245f3aea45165916f8fc

Observation b76f24ba-e643-449b-a844-9e4284f92add · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 5

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source=arxiv_source observed=2026-08-01T10:55:31.989286Z digest=sha256:33a00abfa4404694b58608c588d00473a2090dbb9fa1ca5c5f837ac6a487d40a

Observation f6b0944e-8a43-4233-9f23-263eede90d14 · outbound

This paper cites TransMLA: Multi-Head Latent Attention Is All You Need.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding TransMLA: Multi-Head Latent Attention Is All You Need

Reference 6

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source=arxiv_source observed=2026-08-01T10:55:31.994025Z digest=sha256:7b082d1a7c2549886ad89c1009a917dcf233c54b3aac82b09a7061df945f7138

Observation c2bee203-5fa9-4f83-97d1-fa53661bd998 · outbound

This paper cites arXiv preprint arXiv:2502.14837 , year=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding arXiv preprint arXiv:2502.14837 , year=

Reference 7

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source=arxiv_source observed=2026-08-01T10:55:31.998436Z digest=sha256:5cad8d09c4e5be9abf7313c025b12914d837bcfd67d9deca72877b8349bc1341

Observation 1275af29-821c-4bf2-8078-c4beb387a9cb · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Proceedings of the 40th International Conference on Machine Learning , pages=

Reference 8

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source=arxiv_source observed=2026-08-01T10:55:32.003018Z digest=sha256:ff0377c544e6f9a84d2b36e4684253f112ea93950e91e858543d69a820e31412

Observation 4c76e31e-938a-4d8f-8a8d-200bca1284fa · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Accelerating Large Language Model Decoding with Speculative Sampling

Reference 9

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source=arxiv_source observed=2026-08-01T10:55:32.008274Z digest=sha256:821c549fedb13fc0542d9234fc7de13cc2c64b84318e11f086892bd33dad0afd

Observation 5f7bfb22-0566-45bb-ad6b-e4e9077f642e · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , pages=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , pages=

Reference 10

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source=arxiv_source observed=2026-08-01T10:55:32.013514Z digest=sha256:b44d922345a9643473f345ce21089bca003f2bd0af4dbd6835ffdcafc621fd9f

Observation 0e0cc58c-86db-44b8-a179-e40c805e898c · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Advances in Neural Information Processing Systems , year=

Reference 11

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source=arxiv_source observed=2026-08-01T10:55:32.018049Z digest=sha256:faed42e987b4109e90e16fc9bf1479038863351de9f20c6103d4d4d8e962ead0

Observation 691f1e80-aecf-4d63-bfc9-844d0689e447 · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 12

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source=arxiv_source observed=2026-08-01T10:55:32.022247Z digest=sha256:625124f6f9aa42ff336c735c5d0a9e22e7477d15611aab960272a55c44f57a5a

Observation 316b2821-019e-4d42-8e16-4d2dffc6854c · outbound

This paper cites SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 13

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source=arxiv_source observed=2026-08-01T10:55:32.026781Z digest=sha256:1355cfe5652c6f0f93404d4a913a658130c430d9ffc219fbe6713887ca1b9b04

Observation 40b201a0-eaf5-4382-8515-1bd1e886f4f2 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , year=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Proceedings of the 41st International Conference on Machine Learning , year=

Reference 14

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source=arxiv_source observed=2026-08-01T10:55:32.031902Z digest=sha256:5e5d3d65892204cd33bbccd5750db3a03b95220e839c09f33fc3edadc0c5697f

Observation 4041e36e-f08a-4d52-ac13-1fe7057ceb87 · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 15

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source=arxiv_source observed=2026-08-01T10:55:32.036069Z digest=sha256:4adb37361f37365fb648c69de62d0e8b1f3c4c5e331fb82b1c91a19c6a2d0c88

Observation f093adaf-d518-4b78-a85c-5c89bf3c73b0 · outbound

This paper cites Break the Sequential Dependency of LLM Inference Using Lookahead Decoding.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Break the Sequential Dependency of LLM Inference Using Lookahead Decoding

Reference 16

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source=arxiv_source observed=2026-08-01T10:55:32.040437Z digest=sha256:2400f825ccee146490a08bf91c2c12c998f401043b4c2b49e2184af45c14a7d2

Observation e570c67a-7bef-4bec-85c0-26a9e8babf1f · outbound

This paper cites NIPS Deep Learning and Representation Learning Workshop , year=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding NIPS Deep Learning and Representation Learning Workshop , year=

Reference 17

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source=arxiv_source observed=2026-08-01T10:55:32.045290Z digest=sha256:22ea22f02e4687809d4030b2d778f3d7bb781d012c61264825ca85e5ec8969b5

Observation 1d710006-c840-4b13-988b-544e8c273d87 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 18

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source=arxiv_source observed=2026-08-01T10:55:32.049382Z digest=sha256:ef17e02b986c644e31a6ea8c2e945b7975f714634b74c55b46f06f3b33067e5e

Observation f88a5294-26f9-47bc-a198-3f1b586d5ccc · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-01T10:55:32.054239Z digest=sha256:a0084632e02eccb1461a53d17b15dd8552ab9c0b2dff072615671ac88fe685ac

Observation 69b3dd49-9408-4c2d-9059-ca19e904344c · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Efficient Streaming Language Models with Attention Sinks

Reference 20

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source=arxiv_source observed=2026-08-01T10:55:32.058465Z digest=sha256:3b3759c85b34339a75777e72172f2e63447bb5bb7c9e939817516c51d74c5cde

Observation 63951a0a-165f-4c6c-a87a-d18e4e3d2055 · outbound

This paper cites an unresolved cited work.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-01T10:55:32.063043Z digest=sha256:975f18a8d0cb13103badae32cdf2a5718198171e1581c894b1387fc4d66bba4f

Observation 9123a414-a0f8-49ad-a8d1-49c67ad7fcb7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding DeepSeek-V3 Technical Report

Reference 22

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source=arxiv_source observed=2026-08-01T10:55:32.067151Z digest=sha256:8d07251f9c62dee38dba8632a938a1ffd71f27ffab3822cf7a7cd51a4563c77a

Observation 1c260995-aa48-46a3-a6fd-da6ae9e19d60 · outbound

This paper cites Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding

Reference 23

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source=arxiv_source observed=2026-08-01T10:55:32.071187Z digest=sha256:76567bb9ba24cc985da8eaf86b28ef31f46e2bd7e211b88f338819757ac4f990

Observation ec3c74c1-c73d-4666-8b52-25b7f8cef10d · outbound

This paper cites LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Reference 24

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source=arxiv_source observed=2026-08-01T10:55:32.075319Z digest=sha256:fa345f3e522be9df0deeb8d8e16de86bbea7ca7fa5faaabb46714cbc7a8c91a2

Observation a3de8ecb-b680-473d-be28-b5d77abdf3a5 · outbound

This paper cites Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding

Reference 25

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source=arxiv_source observed=2026-08-01T10:55:32.079893Z digest=sha256:3b6248aabeade3c669a93b3e836f7e48df0e0a671a42ab0c95ff072ffe2f8d40

Observation 68bd3c54-2c43-4748-a6d4-0c75fbdc01c1 · outbound

This paper cites an unresolved cited work.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-01T10:55:32.084531Z digest=sha256:5c8f7beda83e7925f2f5bc998027ab9fb4163b20ef4a096472e8a0c86e2605e7

Observation ff57adac-ab79-4377-be63-3b33c9a8b3e5 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Evaluating Large Language Models Trained on Code

Reference 27

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source=arxiv_source observed=2026-08-01T10:55:32.089453Z digest=sha256:c5e101af230c1aff56afcb22ba99b37b60faa166b2344ec80fe25827752829dc

Observation eab431ab-a9a3-4eed-ab72-5588a143a7f7 · outbound

This paper cites , howpublished=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding , howpublished=

Reference 28

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source=arxiv_source observed=2026-08-01T10:55:32.094184Z digest=sha256:f85a7e55e306f3de32b5c7696573cf182de54d3d1ae2abdbf071d0c94834036a

Observation 3c7ed671-d94d-4fbf-8115-3359730c9280 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics , pages=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics , pages=

Reference 29

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source=arxiv_source observed=2026-08-01T10:55:32.098359Z digest=sha256:e0719ecc8976d206076b881fcd4c19d1dbad94481a74067a6cc8544c1cd49970

Observation 250d65ac-ca79-4adc-b727-5c679daca1ad · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Transactions of the Association for Computational Linguistics , volume=

Reference 30

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source=arxiv_source observed=2026-08-01T10:55:32.103071Z digest=sha256:9942b34705bf8dd9e56a624bf00036a3e024c29544336d66623c7b6f12184565

Observation 60ee6e85-112d-4c85-83b6-81492d93164a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Advances in Neural Information Processing Systems , volume=

Reference 31

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source=arxiv_source observed=2026-08-01T10:55:32.107437Z digest=sha256:43eb1f5ffbda094e7ad13e7ac8a1bbf6530998e72c8cc3c86e292ca96a5e6629

Observation d328ac1d-7f9d-4e1e-9689-f8f7074875bb · outbound

This paper cites Abstractive Text Summarization Using Sequence-to-Sequence.

Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding Abstractive Text Summarization Using Sequence-to-Sequence

Reference 32

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source=arxiv_source observed=2026-08-01T10:55:32.111352Z digest=sha256:d444c4f5ac677060dd05cfc25f3d2be3a42e5cc1122d38860bb909e6b368c06a

Pith citing papers

No inbound Pith citation observations are available.