Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T01:15:58.330766Z
Paper Citation Record · LEDGER
Kaczmarz Linear Attention
As of 4 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:2605.08587.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T02:37:54.272742Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact27
- verified fuzzy14
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch10
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 488b3bd0-87c7-4c68-84a0-507ddf2cf080 · outbound
This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.
Kaczmarz Linear Attention GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.182840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 75ec204e-f1d5-4099-b28c-b6228e1df1d9 · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
Kaczmarz Linear Attention Neural Machine Translation by Jointly Learning to Align and Translate
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.192402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4488f3b-327f-47ee-8630-a297249281bc · outbound
This paper cites xLSTM: Extended Long Short-Term Memory.
Kaczmarz Linear Attention xLSTM: Extended Long Short-Term Memory
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.151720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b8fd592-7452-4953-8540-6b079a096b0f · outbound
This paper cites Striped attention: Faster ring attention for causal transformers.
Kaczmarz Linear Attention Striped attention: Faster ring attention for causal transformers
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.725876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ec20bb38-ed73-44bd-b14f-3849e8e7b49c · outbound
This paper cites Striped Attention: Faster Ring Attention for Causal Transformers.
Kaczmarz Linear Attention Striped Attention: Faster Ring Attention for Causal Transformers
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.166304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4ce4f730-1d40-4485-9f11-f0301da05e8a · outbound
This paper cites Rethinking Attention with Performers.
Kaczmarz Linear Attention Rethinking Attention with Performers
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:16:14.972905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ef36b515-f9ae-475d-aa61-3e292061e630 · outbound
This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.
Kaczmarz Linear Attention FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.175064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a79e4cc9-7939-467e-a459-02a87b37ef58 · outbound
This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.
Kaczmarz Linear Attention Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.224692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9dba6672-0bf7-453b-89d6-129297e4cf25 · outbound
This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.
Kaczmarz Linear Attention FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T16:22:09.323619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 790946f8-6032-4a68-b1ba-7269b092e9e3 · outbound
This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.
Kaczmarz Linear Attention Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:58:17.635264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6819593d-c1b8-4b6c-a4aa-59d4615e6b75 · outbound
This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.
Kaczmarz Linear Attention Hungry Hungry Hippos: Towards Language Modeling with State Space Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:21:23.294187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 800e44fd-6061-444d-a0e5-dc6889aeb6ac · outbound
This paper cites Mamba: Linear-time sequence modeling with selective state spaces.
Kaczmarz Linear Attention Mamba: Linear-time sequence modeling with selective state spaces
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.733639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4cb94ab-672f-4435-ba6c-8763b4440997 · outbound
This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.
Kaczmarz Linear Attention Efficiently Modeling Long Sequences with Structured State Spaces
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:06:37.185943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e29bd68f-4ffa-4927-bbbb-53b49a3322e1 · outbound
This paper cites Log-linear attention.
Kaczmarz Linear Attention Log-linear attention
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.263890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e87883de-dce3-475b-a093-ca7e288db4bf · outbound
This paper cites Training Compute-Optimal Large Language Models.
Kaczmarz Linear Attention Training Compute-Optimal Large Language Models
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T08:06:37.538362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89e51c47-7a70-4bf6-9300-0fd39d26a80a · outbound
This paper cites Angenäherte auflösung von systemen linearer gleichungen.Bulletin Interna- tional de l’Académie Polonaise des Sciences et des Lettres, pages 355–357.
Kaczmarz Linear Attention Angenäherte auflösung von systemen linearer gleichungen.Bulletin Interna- tional de l’Académie Polonaise des Sciences et des Lettres, pages 355–357
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.731833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 07b61b21-ab60-4a2d-bd53-2af9708fd7df · outbound
This paper cites Transformers are RNNs: Fast autoregressive transformers with linear attention.
Kaczmarz Linear Attention Transformers are RNNs: Fast autoregressive transformers with linear attention
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.719921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee756dc8-5df0-4f4b-8942-da09043d9b51 · outbound
This paper cites GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling.
Kaczmarz Linear Attention GateLoop: Fully Data-Controlled Linear Recurrence for Sequence Modeling
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:06:37.006714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bc7d02ff-9b72-490e-9f38-084bca80668b · outbound
This paper cites Reformer: The Efficient Transformer.
Kaczmarz Linear Attention Reformer: The Efficient Transformer
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:22:03.298150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c145e67-d908-4adf-b03f-5ebfe60361f4 · outbound
This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.
Kaczmarz Linear Attention Jamba: A Hybrid Transformer-Mamba Language Model
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T14:11:27.316872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 89b5f006-9193-4076-ba99-9fc40fdb6625 · outbound
This paper cites Forgetting Transformer: Softmax Attention with a Forget Gate.
Kaczmarz Linear Attention Forgetting Transformer: Softmax Attention with a Forget Gate
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.272020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68bc9063-7575-4f79-a059-d7ae09b1c904 · outbound
This paper cites Longhorn: State Space Models are Amortized Online Learners.
Kaczmarz Linear Attention Longhorn: State Space Models are Amortized Online Learners
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:06:37.727663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1e990bf-6f98-4396-bfee-7008d7b92a14 · outbound
This paper cites Blockwise Parallel Transformer for Large Context Models.
Kaczmarz Linear Attention Blockwise Parallel Transformer for Large Context Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.313807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5cdbe56e-9cfd-4223-a82d-4f6a32ec3bdf · outbound
This paper cites RWKV: Reinventing RNNs for the Transformer Era.
Kaczmarz Linear Attention RWKV: Reinventing RNNs for the Transformer Era
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T10:53:42.104933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dec66d16-5ce7-43e7-8256-8843aa8c138c · outbound
This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.
Kaczmarz Linear Attention Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T01:01:23.440331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 412a319a-d6de-4805-a392-d3db5e0ab7f9 · outbound
This paper cites Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention.
Kaczmarz Linear Attention Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:37.076986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 431a6570-02c6-4fb9-81dc-a265a4e93a16 · outbound
This paper cites HGRN2: Gated linear RNNs with state expansion.
Kaczmarz Linear Attention HGRN2: Gated linear RNNs with state expansion
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.710670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8c3addfd-b265-44fc-a7dc-0b60b18e9d9a · outbound
This paper cites an unresolved cited work.
Kaczmarz Linear Attention Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T08:00:28.721823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9eecb19-db66-42f0-88fa-a3c8e50662ba · outbound
This paper cites Linear transformers are secretly fast weight programmers.
Kaczmarz Linear Attention Linear transformers are secretly fast weight programmers
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.737232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2a1b4010-f413-49bd-b5dc-38654a05252b · outbound
This paper cites Arnab Sen Sharma, David Atkinson, and David Bau.
Kaczmarz Linear Attention Arnab Sen Sharma, David Atkinson, and David Bau
Reference 30
- Resolution
- metadata mismatch
- doi, observed 2026-05-12T01:16:13.606737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c88de38d-dcfd-4569-9683-edfff137e899 · outbound
This paper cites SCROLLS: Standardized CompaRison Over Long Language Sequences.
Kaczmarz Linear Attention SCROLLS: Standardized CompaRison Over Long Language Sequences
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:37.876868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f4936eda-d3e9-409c-87c0-0dadebc44e6d · outbound
This paper cites Fast Transformer Decoding: One Write-Head is All You Need.
Kaczmarz Linear Attention Fast Transformer Decoding: One Write-Head is All You Need
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.305965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3cc27689-d997-4b90-8c9c-7d16b9e23b55 · outbound
This paper cites Deltaproduct: Im- proving state-tracking in linear rnns via householder products.
Kaczmarz Linear Attention Deltaproduct: Im- proving state-tracking in linear rnns via householder products
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.300326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 680eb6e0-4d40-40d1-bdd4-fef794c97514 · outbound
This paper cites Smith, Andrew Warrington, and Scott Linderman.
Kaczmarz Linear Attention Smith, Andrew Warrington, and Scott Linderman
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.723727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b31006d-d0bf-4d17-a1d9-7782c8a55687 · outbound
This paper cites an unresolved cited work.
Kaczmarz Linear Attention Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T08:00:28.716036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ee30090-fa31-4b5e-9e3c-af1e5f679abe · outbound
This paper cites SlimPajama: A 627B token cleaned and deduplicated version of RedPajama.
Kaczmarz Linear Attention SlimPajama: A 627B token cleaned and deduplicated version of RedPajama
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.708501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7d037635-a517-4c37-9a90-c803e993a3d5 · outbound
This paper cites an unresolved cited work.
Kaczmarz Linear Attention Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T08:00:28.738932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation af6bb611-a6b7-4b67-a806-462d7acb4039 · outbound
This paper cites Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
Kaczmarz Linear Attention Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:20:12.625336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c42e0cde-37eb-451b-af32-51e66bb9e219 · outbound
This paper cites Retentive Network: A Successor to Transformer for Large Language Models.
Kaczmarz Linear Attention Retentive Network: A Successor to Transformer for Large Language Models
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:06:37.347135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8bf2528d-210e-4da0-9aec-68f888328d81 · outbound
This paper cites Kimi Linear: An Expressive, Efficient Attention Architecture.
Kaczmarz Linear Attention Kimi Linear: An Expressive, Efficient Attention Architecture
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T23:49:11.451207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05a75499-16d4-47ab-ba68-2894bb5a2583 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Kaczmarz Linear Attention LLaMA: Open and Efficient Foundation Language Models
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:21:23.320498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7fafa2b4-131e-4efe-9edf-503913b84a55 · outbound
This paper cites Attention is all you need.
Kaczmarz Linear Attention Attention is all you need
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.735267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8821bfb-31b6-4fbf-9a9e-2c42782d8080 · outbound
This paper cites An Empirical Study of Mamba-based Language Models.
Kaczmarz Linear Attention An Empirical Study of Mamba-based Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T10:31:04.038637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1c0b7488-6b92-40cf-b436-2607b5459681 · outbound
This paper cites Test-time regression: a unifying framework for designing sequence models with associative memory.
Kaczmarz Linear Attention Test-time regression: a unifying framework for designing sequence models with associative memory
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:37.408796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ac175f7-1e77-4613-9622-2c0c01200aa5 · outbound
This paper cites Linformer: Self-Attention with Linear Complexity.
Kaczmarz Linear Attention Linformer: Self-Attention with Linear Complexity
Reference 45
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T08:21:23.231682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 05e8f422-c446-4abe-9e8f-02ca92d16397 · outbound
This paper cites Fla: A triton-based library for hardware-efficient implementa- tions of linear attention mechanism, January 2024.
Kaczmarz Linear Attention Fla: A triton-based library for hardware-efficient implementa- tions of linear attention mechanism, January 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.714447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b9ad8e83-d086-46e3-ac2d-159f21ce969b · outbound
This paper cites Gated linear attention transformers with hardware-efficient training.
Kaczmarz Linear Attention Gated linear attention transformers with hardware-efficient training
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.712548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80f37d7f-f3ac-4ade-b585-cdbb94e9752c · outbound
This paper cites Parallelizing linear transformers with the delta rule over sequence length.
Kaczmarz Linear Attention Parallelizing linear transformers with the delta rule over sequence length
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.728252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6645ea7a-801c-4c94-8384-23009042500f · outbound
This paper cites Gated delta networks: Improving mamba2 with delta rule.
Kaczmarz Linear Attention Gated delta networks: Improving mamba2 with delta rule
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.717869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a433a428-2355-4166-bb30-cc52a7041136 · outbound
This paper cites Big Bird: Transformers for Longer Sequences.
Kaczmarz Linear Attention Big Bird: Transformers for Longer Sequences
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:54:01.139247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cef2bcc6-5f72-4e78-9bae-e8851b5fd0aa · outbound
This paper cites An Attention Free Transformer.
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:06:37.296952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation faed409e-e18c-48bb-a118-9d6906b94ed3 · outbound
This paper cites Test-Time Training Done Right.
Reference 52
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T11:25:45.463576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cedef059-247c-44ac-ae78-1b9d416379f1 · outbound
This paper cites Gated Slot Attention for Efficient Linear-Time Sequence Modeling.
Kaczmarz Linear Attention Gated Slot Attention for Efficient Linear-Time Sequence Modeling
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:21:23.332884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 988c5015-7b15-4e47-9fc6-f5c0eb1d7685 · outbound
This paper cites Learned Scalar.
Kaczmarz Linear Attention Learned Scalar
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T08:00:28.729977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
Observation bd2b8ed1-0942-45dc-8c45-865fe8b6e8af · inbound
Memory for Large Language Models cites this paper.
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T02:37:54.272742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.