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Paper Citation Record · LEDGER

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices

As of 19 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2506.10443.

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

pith.paper-citation-record.v1
2506.10443 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:33:41.924970Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:54:41.845820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:34.743495Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved28
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 999649e1-e61e-4631-9e97-150b5e4bd1ea · outbound

This paper cites LLM in a flash: Efficient Large Language Model Inference with Limited Memory.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:37.615578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:37.615578Z digest=sha256:30f2207b7aa62c8f1bd9fdb0c59050dd565b6a91824d4c0921682f5a5326b86f

Observation 6b709f10-c803-447a-8845-fb09bfa8de78 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:46.456905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:37.744904Z digest=sha256:7138ede5c1d4e14a8e6abca7ff88ad0ca280ab77783fa954d89286297546fb1c

Observation 03865cf6-96d5-4c30-aa83-214e877b5762 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:46.197333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:37.885682Z digest=sha256:1fe3d38d245b9e19685a724cca4e5b6d1697bb667be284387359af364f281403

Observation 0fe4a643-d7ef-4e0d-b28d-7097fc628113 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:45.906573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:38.068150Z digest=sha256:51516bd8f2962548d2c79a9489e184680617fe075ed5879e97bcd705dd88f169

Observation 5d39d001-2ecc-48ac-a776-19248d5dc7e8 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:45.654420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:38.220581Z digest=sha256:c347f150394f7c550f4590f920f7247dcc8f0d6874f67dd9363c9c6dd862393b

Observation efb0db2a-fe09-4914-b831-e19d5ee87a1a · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:45.420724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:38.378821Z digest=sha256:25554563d7e9bae2347fdc9ddd085d6a3ff5a65c1d6d27fd09a6649874f06673

Observation cbc9de67-1f49-428b-a675-5529a7d77b8a · outbound

This paper cites Qwen Technical Report.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Qwen Technical Report

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:38.535271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:38.535271Z digest=sha256:bfc23d914be1fb9db5bbc2b9fa2bed72c42d84b64509e1f5b7b22fcab1a0eef9

Observation 2e582e7a-9103-4193-9d33-b41d95df9c45 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:45.144980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:38.684219Z digest=sha256:a19fe0cad639e7836f8cfbed7811db674f024ecd45b056ba5461498c82cd71b3

Observation 4119092e-5336-441a-af7e-cca3f1ade219 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:38.831526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:38.831526Z digest=sha256:d27b95ca5111eab43465a86d3c4ca6ce05e3d9e182328af62398904fc7aabffa

Observation e27a151a-d7f6-4df1-959c-8294ad1b0aba · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:44.797347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:38.984467Z digest=sha256:717316827b10f7a429f3b968d14b63e2618bbbcafb912035195c73a5528730db

Observation 26340a6b-0eb3-48cf-9420-c8b49db7bdc1 · outbound

This paper cites Textbooks Are All You Need.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Textbooks Are All You Need

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:39.095803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:39.095803Z digest=sha256:a55d5bb62834017fb5d997cf2d0e08a584bed401e7dd35fa9fc3b4c85d754bfe

Observation e22c9314-d8bf-4116-9b6b-04a19e969ebd · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 12

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T04:33:42.193093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:39.229878Z digest=sha256:01930279244ee9bffc92de16015b1798bb6af42d355df27d72b4cc180ae151de

Observation 761010cb-87e6-4933-a502-94edad45598a · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:39.357392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:39.357392Z digest=sha256:9ddb7133afbdc7c001ef47601846dfce02497cbbb165b090feba0a43ce9fe72b

Observation d5697dfc-b843-4932-8f5a-d4a0b0e14676 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices LoRA: Low-Rank Adaptation of Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:39.505282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:39.505282Z digest=sha256:ad60fa442e5f2c66c67b13eafe98428909f9c345f7bc85445d1db65be6788fc4

Observation 21e04c31-6eff-4bb8-9227-d039bf16fb7d · outbound

This paper cites MNN: A Universal and Efficient Inference Engine.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices MNN: A Universal and Efficient Inference Engine

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:33:42.562810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:39.629945Z digest=sha256:2afcb7f0c7d47edffd4e93c94216cb66e4c4197b912015ec0f4f5d268e38d7b3

Observation fb0e52b3-d4e1-4c7b-8041-0fe589f77517 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:39.741439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:39.741439Z digest=sha256:2c141bd475ba6f26967e7fd961566ae7ce0a672364631fdb63e4480befb3975f

Observation 659448a1-def5-4c5a-b2e7-89c4c7a2b5d4 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:44.542434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.018787Z digest=sha256:040eb0421cbd116d8c2ee1f2e775e815e9a16e08e10609aa2e1af7e433f22ae4

Observation aacd58ab-0edf-4449-b713-74a2b6054d11 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:44.307227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.170446Z digest=sha256:b0f5d77eb302758aa5f750dc592044b12890b9eee0810af15202568d0832b33b

Observation b367ccbe-8a64-4b1d-bee7-572935f6c666 · outbound

This paper cites on device.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices on device

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:33:44.029955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.293559Z digest=sha256:a4b152a4dba68d0f1eab75dd5deffb6a1dfcb072be86c417b350b57a798a78e0

Observation 8f2ea278-8918-4e53-81fe-691020e88fc8 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:43.750762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.445975Z digest=sha256:165bdd2ca3b2e0eed635cc28dc8296d9cf8f1c346da129dcf4dde10ee92ff36c

Observation db262817-6bf5-4595-a6c7-96563e7bbe94 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:43.473088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.566715Z digest=sha256:0a84e73d38923289202d217d2b8403e20ec90ce44c1462af6810709f793443a6

Observation 734a1b4e-8aee-4ddb-8632-b305a95426f5 · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices You Only Look Once: Unified, Real-Time Object Detection

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:40.720961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:40.720961Z digest=sha256:2bbc967309fd1601ec92eae99d40838528ed829e1676ff54d9c33338052fb685

Observation 8c20ce34-f826-4178-8233-31fe5b05d9d2 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:43.261538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:40.836010Z digest=sha256:4a9bf00eded2418310c30d1f9e02e23b5bc4b87090c43735b3d5e6160dd598f7

Observation 5598ddb0-e2b5-4537-ba5b-72423d7ec9b0 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:40.964786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:40.964786Z digest=sha256:5504a42c978c0dadd38a05aa6699f12f755e805def4f14becd4fb55f424d7b17

Observation 043c2382-a7b9-4da8-af48-7341458c9fe8 · outbound

This paper cites Attention Is All You Need.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Attention Is All You Need

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:41.132025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:41.132025Z digest=sha256:d7493aebff05cac3d2a7d152ecde5254432ba2b71e94501c5e9d8728ca82d106

Observation 858f1e20-5ea8-40b7-9160-5177f915214c · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:41.296814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:41.296814Z digest=sha256:832a1564b99172e8f01a97415f7ea1cec17e94cd3026083a1d6b2dbba40510cb

Observation e6e444f5-3cb8-4b93-b41d-119054e6e8ee · outbound

This paper cites Qwen2 Technical Report.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Qwen2 Technical Report

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:41.639468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:41.639468Z digest=sha256:68d5819b2e9d3953b779e8ac0b64a3a87ffe90e75a4468828e438455c957f39c

Observation 07cfa9f5-a237-412f-9484-e4c31b491b95 · outbound

This paper cites Root Mean Square Layer Normalization.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Root Mean Square Layer Normalization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:41.808494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:41.808494Z digest=sha256:31f41bfd439a1b66c8efaef56ef051f0ddfdc70007ca73c7baa4887b933638b9

Observation 8011b221-9303-4af3-8633-62ce47f76064 · outbound

This paper cites an unresolved cited work.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:33:43.018621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:33:41.924970Z digest=sha256:d9af744db31f56614ca8a26bb5ca48446b2204ce3236673ed9ce41d1e6040563

Observation eb4c56db-5743-4d7b-b20e-382e1860804e · outbound

This paper cites Scaling Laws for Neural Language Models.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices Scaling Laws for Neural Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:39.863520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:39.863520Z digest=sha256:e4ba69704932136c84f09efa7748e4f56952e026f365e9a6271e84ca450dc231

Observation dfe72331-8322-4198-ad01-cb3db0095e9a · outbound

This paper cites PowerInfer-2: Fast Large Language Model Inference on a Smartphone.

MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices PowerInfer-2: Fast Large Language Model Inference on a Smartphone

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:41.493324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:41.493324Z digest=sha256:f88257f396e543729d24b20ea9ad3a177d66ca16cfadf1b6ac7330e3b38902c0

Pith citing papers

Observation 1c7a9c01-90fd-41d1-9062-b72a73196db2 · inbound

EdgeFM: Efficient Edge Inference for Vision-Language Models cites this paper.

EdgeFM: Efficient Edge Inference for Vision-Language Models MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:01:27.727595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T08:30:35.264804Z digest=sha256:8c1b7c615b61a3b9276488df318d682d95eb8be7cfdff68f56685f96177c2c7c

Observation f721f4d8-a09b-4842-8c29-8508680dcedf · inbound

EdgeFM: Efficient Edge Inference for Vision-Language Models cites this paper.

EdgeFM: Efficient Edge Inference for Vision-Language Models MNN-LLM: A Generic Inference Engine for Fast Large Language Model Deployment on Mobile Devices

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:34.744946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-01T08:54:41.845820Z digest=sha256:9baf5ec6d9525e403d9adfd7d5c2544813b2eceea8c956026b0e4e1fff944448