Paper Citation Record · LEDGER

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2504.20922.

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

pith.paper-citation-record.v1
2504.20922 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:08.434886Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:11:55.325064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:26:04.470618Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy38
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66af68b4-619b-4a71-9b63-b5de370fb4cb · outbound

This paper cites Scaling Autoregressive Multi- Modal Models: Pretraining and Instruction Tuning,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Scaling Autoregressive Multi- Modal Models: Pretraining and Instruction Tuning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.906677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 036f2e92-fa58-4b94-9a56-570ce4836140 · outbound

This paper cites Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.895799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 053ce007-934b-46d7-a930-e424b0c3ee98 · outbound

This paper cites Attention is All you Need,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Attention is All you Need,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.883571Z

Source-reported events for the cited work

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Observation 31287879-6c77-47ca-b8b5-7b341f2268ed · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures LLaMA: Open and Efficient Foundation Language Models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.872340Z

Source-reported events for the cited work

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Observation 6b3b2330-628f-4fc2-bf50-d50e2b12d60e · outbound

This paper cites Mistral 7B,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Mistral 7B,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.860636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 418d4cea-fece-437c-a9ab-6f7431552dee · outbound

This paper cites Language models are unsupervised multitask learners,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Language models are unsupervised multitask learners,

Reference 6

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Source-reported events for the cited work

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Observation 3f3dff9b-9cd9-4135-a8bb-ce7b97aec503 · outbound

This paper cites Claude 3 model card,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Claude 3 model card,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ce85e03-c17a-4894-b6dd-ee340e7f1927 · outbound

This paper cites Scaling LLM Test-Time Com- pute Optimally can be More Effective than Scaling Model Parameters,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Scaling LLM Test-Time Com- pute Optimally can be More Effective than Scaling Model Parameters,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.831183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6a98eda-a311-43cc-9c82-4f0e367cc389 · outbound

This paper cites Learning to reason with LLMs,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Learning to reason with LLMs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.820626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f63b66d-940b-4a33-9c11-ee18785d82b0 · outbound

This paper cites DeepSeek-R1: Incentiviz- ing Reasoning Capability in LLMs via Reinforcement Learning,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures DeepSeek-R1: Incentiviz- ing Reasoning Capability in LLMs via Reinforcement Learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.810719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 770dcc2b-1db8-4545-8518-7129f1ad02a9 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Mamba: Linear-Time Sequence Modeling with Selective State Spaces,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.800593Z

Source-reported events for the cited work

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Observation e8584f30-7a55-4121-97ba-62ca7984b3c5 · outbound

This paper cites Early exit optimizations for additive machine learned ranking systems,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Early exit optimizations for additive machine learned ranking systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.791309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf0232a2-4326-43a5-aa0a-75141a4f66cf · outbound

This paper cites Branchynet: Fast inference via early exiting from deep neural networks,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Branchynet: Fast inference via early exiting from deep neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.781002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74f20bf4-7766-4de9-af94-8d36ecd0a1ce · outbound

This paper cites SkipNet: Learning Dynamic Routing in Convolutional Networks,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures SkipNet: Learning Dynamic Routing in Convolutional Networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.770364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23c2fe5a-8d63-4a96-bf3f-f4fed8323995 · outbound

This paper cites Dynabert: Dynamic bert with adaptive width and depth,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Dynabert: Dynamic bert with adaptive width and depth,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.759658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29e423ae-c2a5-43e9-a7e1-b2076ebf01cc · outbound

This paper cites The Unreasonable Ineffectiveness of the Deeper Layers,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures The Unreasonable Ineffectiveness of the Deeper Layers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.748200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c55b1e60-e3a0-4383-8c73-49bd53719d6e · outbound

This paper cites BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.737373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 401de29b-e747-46ed-8967-a65c4c25e73a · outbound

This paper cites AdaViT: Adaptive Tokens for Efficient Vision Transformer,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures AdaViT: Adaptive Tokens for Efficient Vision Transformer,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.726327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78a758db-2d13-41d1-9bae-4a13fc12c240 · outbound

This paper cites Lgvit: Dy- namic early exiting for accelerating vision transformer,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Lgvit: Dy- namic early exiting for accelerating vision transformer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.715591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2af31bf9-2c5d-4feb-8331-f7fce399a7d5 · outbound

This paper cites Nodeformer: A scalable graph structure learning transformer for node classification,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Nodeformer: A scalable graph structure learning transformer for node classification,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.705508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6aa2facc-74be-4827-880a-c60f16beff54 · outbound

This paper cites Cas- cadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Cas- cadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.694570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97aae59f-40aa-4acc-aff9-acf29727f179 · outbound

This paper cites FastBERT: a Self-distilling BERT with Adaptive Inference Time,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures FastBERT: a Self-distilling BERT with Adaptive Inference Time,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.683788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94781e21-9d70-48c8-84db-43763c123ce2 · outbound

This paper cites Depth-Adaptive Trans- former,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Depth-Adaptive Trans- former,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.673469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2978b015-5263-4165-ab7b-129b27914706 · outbound

This paper cites Confident adaptive language modeling,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Confident adaptive language modeling,

Reference 24

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Source-reported events for the cited work

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Observation a6ff465a-da59-4b63-b178-4a3645dc7ffd · outbound

This paper cites Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decodingt5,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decodingt5,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.657254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a84aa94f-cef8-4044-9871-340885f5ace2 · outbound

This paper cites EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.646723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 90053d09-2dc0-49f0-b7a9-e829d49820d5 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c88648c-60e8-4fbf-a12b-f0f5c6778d55 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.628035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9212d49b-2551-4dae-9f39-0ed3803c980c · outbound

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

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures LoRA: Low-Rank Adaptation of Large Language Models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.616174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3bbab7f-9410-4368-84e7-9464b18e08b4 · outbound

This paper cites Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Transformers are SSMs: Generalized models and efficient algorithms through structured state space duality,

Reference 30

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Source-reported events for the cited work

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Observation f9a396e3-c489-4c0f-b2e6-9f7dbe7cdc05 · outbound

This paper cites Edanas: Adaptive neural architecture search for early exit neural networks,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Edanas: Adaptive neural architecture search for early exit neural networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.599434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bcae24a2-8f91-437f-b89a-e33f4159497e · outbound

This paper cites Greedy layer- wise training of deep networks,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Greedy layer- wise training of deep networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.588688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02edd933-81e1-4b18-b648-1d21750080bc · outbound

This paper cites Distilling the Knowledge in a Neural Network,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Distilling the Knowledge in a Neural Network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.577911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 967ecd1b-78df-4c31-bcf6-430fe86c182e · outbound

This paper cites A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations,

Reference 34

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Source-reported events for the cited work

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Observation db953620-4be8-4d7c-88d7-4edd6dea0c7d · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.561341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63ac9cb1-d1c4-446a-aac5-4a2bbae414b9 · outbound

This paper cites Linformer: Self- Attention with Linear Complexity,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Linformer: Self- Attention with Linear Complexity,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.551069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c78daf1d-611c-4247-ac06-1de7003e2f8b · outbound

This paper cites Longformer: The Long- Document Transformer,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Longformer: The Long- Document Transformer,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.539049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e66c4f51-16b3-40a7-abfb-f7a63446175d · outbound

This paper cites Codestral mamba,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Codestral mamba,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.527178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 832541d4-d684-4f2e-8f33-387a11322c1c · outbound

This paper cites HuggingFace’s Transformers: State-of-the-art Natural Language Processing,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures HuggingFace’s Transformers: State-of-the-art Natural Language Processing,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.516407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e30cf29-6636-41fc-ac62-aafcc9079ebe · outbound

This paper cites Fineweb-edu,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Fineweb-edu,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.505429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d749746-b4ff-4d44-94af-994808ce1dc7 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures TruthfulQA: Measuring How Models Mimic Human Falsehoods,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.494079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3f5c84b-5b4c-4883-8b56-c510f31db792 · outbound

This paper cites Coqa: A conversational question answering challenge,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures Coqa: A conversational question answering challenge,

Reference 42

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Source-reported events for the cited work

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Observation 7868364a-2296-4942-8085-6af13d11f12e · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehen- sion,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehen- sion,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.476264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d965324-6b7b-4c00-bd2a-2cf30b819e9b · outbound

This paper cites A framework for few-shot language model evaluation,.

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures A framework for few-shot language model evaluation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:19:08.465704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 8dea86c3-65f4-445b-a845-adaba0e2a2cd · inbound

SEAL: Searching Expandable Architectures for Incremental Learning cites this paper.

SEAL: Searching Expandable Architectures for Incremental Learning DYNAMAX: Dynamic computing for Transformers and Mamba based architectures

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bd16ff-45aa-469d-9104-82357ae88316 · inbound

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales cites this paper.

Variance Is Not Importance: Structural Analysis of Transformer Compressibility Across Model Scales DYNAMAX: Dynamic computing for Transformers and Mamba based architectures

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:26:04.474010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.