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Paper Citation Record · LEDGER

A Survey of Resource-efficient LLM and Multimodal Foundation Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2401.08092.

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

pith.paper-citation-record.v1
2401.08092 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:23:13.123832Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:27:05.570944Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8dcab173-a130-4fb4-a797-53c2d55bd7cc · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:39:33.690493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:909b04f4ef4946a8bbdeb64bcae91ac7ac2dd6b09815d5419035b957a65d96eb

Observation a1b4eedf-3672-460d-ae2b-7d03e8faaba4 · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:01:55.874726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T00:01:42.228190Z digest=sha256:04da0128ec492eeab24f64ec6557fde86a4af78f98c0dc5c3cb968df0e19b67c

Observation 0c1d5cb6-1d0f-4f23-ace0-65534da65aa6 · inbound

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference cites this paper.

ShadowNPU: System and Algorithm Co-design for NPU-Centric On-Device LLM Inference A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:06:52.172968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T22:03:10.316005Z digest=sha256:3a1ab1f47decfb17341cc7e64664935c2f48ab1e200cf019276c86cfd6310df2

Observation 41e3692d-a9a5-457d-aa0a-bce76edb6c3d · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 156

Resolution
unresolved
no resolver link, observed 2026-08-03T09:21:46.703926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:21:46.703926Z digest=sha256:4762e11c56b950327b126ae83e17a439853e09bcef7e4ef22388596f710640f4

Observation 1b007de2-75c1-42ee-bb5e-ccaab7d421bf · inbound

Understanding Rate-Distortion Performance in Distributed Transformer Inference cites this paper.

Understanding Rate-Distortion Performance in Distributed Transformer Inference A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T10:02:42.588064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T10:01:53.390831Z digest=sha256:5e06958a14b58b4c29e2d08ce81daa56f56677a48a6b614c846dad3fee0bb1b9

Observation 52282e88-a358-436f-b738-2c094495b046 · inbound

Understanding Rate-Distortion Performance in Distributed Transformer Inference cites this paper.

Understanding Rate-Distortion Performance in Distributed Transformer Inference A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T06:51:13.462626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:51:13.462626Z digest=sha256:2e7e828e93ea9e0fff46aee7c4d9cfe41c4ddbc6a9ba4733aa3f669af56d6c0c

Observation afece50d-7ffa-4a00-ae22-bf6db5703e71 · inbound

Understanding Rate-Distortion Performance in Distributed Transformer Inference cites this paper.

Understanding Rate-Distortion Performance in Distributed Transformer Inference A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T06:23:13.123832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:23:13.123832Z digest=sha256:7d6be17b2b8ada91212c4f5f3b5daafa3c3dbff34ed2b9630710b5463d097fa4

Observation 1f48e20d-b722-48cb-baab-0ba3e1dfb121 · inbound

Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support cites this paper.

Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:28:39.002200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T05:19:16.192992Z digest=sha256:65dc1a5eb422904e8d0845140d18e80ac29b089ec4e18ba8a972a9c47599381e

Observation cd002b07-4abb-49e7-8364-81b3ecedf5cc · inbound

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models cites this paper.

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:04:17.780506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-09T23:02:07.554154Z digest=sha256:eb527a179009a6445322309b49ce79b641198354ec3c558e4711aad2d02a3056

Observation c61f062f-547f-4641-b317-b876547873c0 · inbound

Bilevel Optimization for Neural Architecture Search cites this paper.

Bilevel Optimization for Neural Architecture Search A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:34:21.990406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T07:25:50.831689Z digest=sha256:e28c8fa00fefd84ae6b50aeed75a9bb81cfb35fd9bffc9f025c2f69459b34245

Observation 1e159424-92cc-431a-b415-5bf478534af2 · inbound

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education cites this paper.

ELEVATE: Designing Human-Centered GenAI Virtual Tutors for Scalable and Inclusive Education A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:29.233849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-07-01T07:45:22.445395Z digest=sha256:d40fad01eda45d19f490bb1f63409e232efe0627ee78ad0ae3350bf748ba4b94

Observation 721c1a7a-956f-42f5-8d2e-0c63b726a54c · inbound

Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment cites this paper.

Rethinking Small VLM Quantization: From Component-Wise Analysis to Hardware-Aware Edge Deployment A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-10T13:27:05.572840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-10T13:26:41.210163Z digest=sha256:0179ba693e87406f9f4dcf5ec8e7fe512c8f9114e9836b0ba2c5c1df9b06e72f

Observation 00bb3588-d8ba-44a9-a189-80e25a2821c8 · inbound

FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs cites this paper.

FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs A Survey of Resource-efficient LLM and Multimodal Foundation Models

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-02T08:23:13.162263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:23:13.162263Z digest=sha256:1510c463d104f436545ceb640dc7e671d6ef38c94a2e79d06ddc986e0245aa62