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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 8 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 2026-08-08T06:32:00.761636+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:d4ccff3b05474c2dc8f8436ccd4e06c33e25cf5fe6d87133faafc0052ca2341b

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

source=pdf_text observed=2026-08-07T04:33:37.744904Z digest=sha256:bca762c47bf810f98f43841f446b7531dc7a2c001c96a05766b5769f7a08e3d2

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

source=pdf_text observed=2026-08-07T04:33:37.885682Z digest=sha256:244704fbbbbfc6fc789a099a0e327a00a5c5408437e14d3548f6f2f6a1829774

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

source=pdf_text observed=2026-08-07T04:33:38.068150Z digest=sha256:bcb17bb274f7a86d5308db5d1cdf64968b096276aae95a25d5c646f2f0db0e22

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

source=pdf_text observed=2026-08-07T04:33:38.220581Z digest=sha256:3e348fcd1253c49491d8c4cd72d023dffde6037932f295ec4098babe6c4075a4

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

source=pdf_text observed=2026-08-07T04:33:38.378821Z digest=sha256:dd965ae6adb5ba15feef3bab0c58da75799d658c1a066fc94a2fb8ee7d08eee7

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=sha256:515c27a2c1a3ead81796c28e10c3dabafbdd47fb249823347b3c645188bfb314

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

source=pdf_text observed=2026-08-07T04:33:38.684219Z digest=sha256:b2476cb1c6aedf2e7c4dcfecb1c5719079778c32f220d3ab730c47a49c5825df

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=sha256:11c5b1f4605b6d1520269d85ad4e78ad748f8a421a15aba63de3783fdc3df189

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

source=pdf_text observed=2026-08-07T04:33:38.984467Z digest=sha256:24b52d3abad24aa006b3192b89d5e29da07eae0d1455b74fe04ebc2a2009ab5c

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=sha256:831cbc2a28f9be18163dc95551ee23433f4456d528bc7959e1e311f069b307b6

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

source=pdf_text observed=2026-08-07T04:33:39.229878Z digest=sha256:aaea88d27703a9f41bf4edb4e9098e4ce10d1b4ff69051f18ff0dbcbe7ce496b

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=sha256:9b09144f0f0fc834d42b3194f5169f9aae8b2a8974c98ce894197c79fb797801

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:c6b151c704d1fea03edbba4e67baa5e949c77126abbfe579f27178d710156e4e

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

source=pdf_text observed=2026-08-07T04:33:39.629945Z digest=sha256:21a66e7038412c977c02b91fbaf8b78d3a4f13dba5891fc68c7b509dad969e8d

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:a647466c3ecff1f409ab47c9a1df4d93078a0227f7d9d16e2d388a59fb382c49

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

source=pdf_text observed=2026-08-07T04:33:40.018787Z digest=sha256:8fb5a488d7774afd60dda210af32eb2b7cc308b1e0cdd5a56b6ff8d974781311

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

source=pdf_text observed=2026-08-07T04:33:40.170446Z digest=sha256:ce1f9201232f83ee3b6d7984317642447722b6e47e7f5e39a347e41f70c90464

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

source=pdf_text observed=2026-08-07T04:33:40.293559Z digest=sha256:fef0ca012c1c6149220059eb74a5cb5271247f50f71c7e57c7d2e0b128221dd4

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

source=pdf_text observed=2026-08-07T04:33:40.445975Z digest=sha256:0975c6577c773aef8d022f9539e4f958211ace57c2997004298ad8d81bb85796

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

source=pdf_text observed=2026-08-07T04:33:40.566715Z digest=sha256:621dbe1195276b66f5a8ab85f6f5202b6192dd757164922625ea5eba1a4f434d

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=sha256:1a49d3a31408bef0ea30e67180dece85e2feb1ec2bff4a2568fd998b745a47c2

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

source=pdf_text observed=2026-08-07T04:33:40.836010Z digest=sha256:0e01c659929d5c5079c49f6271e5f3b1b666d037a4695b7cd262207cdbce3423

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:bd74e326c54d03150e04d9ceb7867206dffee2754977d9a2c703417f1ca484d4

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:b953c52ece2bb281b1e4cb7815819151f8f5ef6b79e954af0e259c86fcb53d2a

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=sha256:4d5d8852f54c22540615c575a1e023ddca51c652a525207fb0daf7c2d0ecea42

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=sha256:1935cc8f3949014eddca58c8dabf509c317d37d5a95bcfa0c05bedc0f12d92c6

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:d3af12136c6f6e614babf069f69e995e2881d3c1c8526c21d38fdd24f4cb4b28

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

source=pdf_text observed=2026-08-07T04:33:41.924970Z digest=sha256:3f525d745bd97d2124057e08d4c9425c39f8d08a1f9861885c8005d4c8861019

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=sha256:4a8fc263af33ac34945404ec5fcc9390fea51e06b0c3e7322089f71492fed1c0

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:d9902fa5e60366ab2c7e88b9a4a833047b4ed8de49c87fbe52321f1214cb07c8

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

source=pdf_text observed=2026-05-07T08:30:35.264804Z digest=sha256:e647aa7e42a5a8c4cd8634cb16e1cd4ab32c8fc13a692a9513f5582cdde6e5b4

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

source=pdf_text observed=2026-07-01T08:54:41.845820Z digest=sha256:80529eb4410a9f63dffb9d9ca0d17254d13fea6b26b09c94ac4666814f4213f8