Paper Citation Record · LEDGER

Synergy: End-to-end Concept Model

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.12769.

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

pith.paper-citation-record.v1
2507.12769 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:45:35.882329Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a73a9e69-35f8-416f-9a22-7ba170a977c3 · outbound

This paper cites online" 'onlinestring :=.

Synergy: End-to-end Concept Model online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.489328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5206c9d5-0e8c-47e5-b2e0-eacf6ce4e34e · outbound

This paper cites write newline.

Synergy: End-to-end Concept Model write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.556667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e835f4-a804-4501-a480-56ff5a8da5ef · outbound

This paper cites MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.

Synergy: End-to-end Concept Model MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.629105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c35756-d215-45bd-b73b-f19db2098081 · outbound

This paper cites Longformer: The Long-Document Transformer.

Synergy: End-to-end Concept Model Longformer: The Long-Document Transformer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.727213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97250218-9342-4794-8978-a6acb24e5878 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Synergy: End-to-end Concept Model Generating Long Sequences with Sparse Transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.788248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0644904-4aa5-4f9e-a965-946ec8b6fe35 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Synergy: End-to-end Concept Model Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.831893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbcd9f0-034d-421e-a1bb-999aad76db70 · outbound

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

Synergy: End-to-end Concept Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:33.876998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0143da35-488f-444b-a887-2f0abce2e3fe · outbound

This paper cites Block Transformer: Global-to-Local Language Modeling for Fast Inference.

Synergy: End-to-end Concept Model Block Transformer: Global-to-Local Language Modeling for Fast Inference

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:45:36.275908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation df5ba07c-3d6d-494f-b1f5-228867137817 · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Synergy: End-to-end Concept Model MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.035954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad746d5b-2b45-4b54-82da-e7c4ccfb0193 · outbound

This paper cites MrT5: Dynamic Token Merging for Efficient Byte-level Language Models.

Synergy: End-to-end Concept Model MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.114874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f0c9b0-8d44-4c97-b85a-a1d2b5c86ee2 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Synergy: End-to-end Concept Model Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.210199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16152354-bab5-44ab-a8c0-94113539cf18 · outbound

This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

Synergy: End-to-end Concept Model RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.301255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163cec58-7fcd-41df-a1d6-3939de400f21 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

Synergy: End-to-end Concept Model MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.398285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c1f0560-80cf-47e6-92f2-3ac25ef99105 · outbound

This paper cites an unresolved cited work.

Synergy: End-to-end Concept Model Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.486771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4fde03-02e7-4b3e-a922-e05952aca607 · outbound

This paper cites Hierarchical Transformers Are More Efficient Language Models.

Synergy: End-to-end Concept Model Hierarchical Transformers Are More Efficient Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.588473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6c96cd5-26b4-46c5-a8f7-55e1c4d53548 · outbound

This paper cites Byte Latent Transformer: Patches Scale Better Than Tokens.

Synergy: End-to-end Concept Model Byte Latent Transformer: Patches Scale Better Than Tokens

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.701858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbcf2ab9-5564-4d60-829d-bfeb09ff547c · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Synergy: End-to-end Concept Model RWKV: Reinventing RNNs for the Transformer Era

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.787104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b71ccfb-03c1-40b1-bef8-158f7bde71be · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Synergy: End-to-end Concept Model Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.859687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da19791-b547-4688-9bbd-a6e0e19f4904 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Synergy: End-to-end Concept Model Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:34.960190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5034254f-a52f-436d-916e-fd432a6c206f · outbound

This paper cites GLU Variants Improve Transformer.

Synergy: End-to-end Concept Model GLU Variants Improve Transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.018992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c5bb5ab-f07b-40b5-9d89-2260855c0fd1 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Synergy: End-to-end Concept Model RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.078091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc1faf9-7c8a-4309-b5cf-d71ec22da923 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

Synergy: End-to-end Concept Model Retentive Network: A Successor to Transformer for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.130477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62eb9815-aeae-49c6-bd35-ee650d64bc52 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

Synergy: End-to-end Concept Model Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.200985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e3d855-f6fa-4e91-ba13-2dec5e67755c · outbound

This paper cites MambaByte: Token-free Selective State Space Model.

Synergy: End-to-end Concept Model MambaByte: Token-free Selective State Space Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.271646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c57c5eb-7673-432a-a778-07eed5403a9d · outbound

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

Synergy: End-to-end Concept Model Linformer: Self-Attention with Linear Complexity

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.352418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce9473c-8423-45c1-824a-e59bf58d3e87 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Synergy: End-to-end Concept Model Efficient Streaming Language Models with Attention Sinks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.424748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30a2b1c2-70bb-4c5f-8a10-9ffeecd0a5f2 · outbound

This paper cites an unresolved cited work.

Synergy: End-to-end Concept Model Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.486367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5946b5-a58e-4d93-8cc2-6d28d41dd271 · outbound

This paper cites MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers.

Synergy: End-to-end Concept Model MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.749317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89388682-9a1c-4fb2-916d-88bce4a0cd79 · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Synergy: End-to-end Concept Model Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.805318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600423c6-81aa-479f-be0b-42a0a09390ad · outbound

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

Synergy: End-to-end Concept Model H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.882329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.