Paper Citation Record · LEDGER

TPTT: Transforming Pretrained Transformers into Titans

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 2 inbound Pith citation observations for arXiv:2506.17671.

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

pith.paper-citation-record.v1
2506.17671 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:48.726772Z

measured 34 of 34 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 2026-08-01T14:02:35.245972Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T23:43:51.237854Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy6
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ec4e09b-a51e-4dbf-b4b3-7cade0850fa4 · outbound

This paper cites Qwen Technical Report.

TPTT: Transforming Pretrained Transformers into Titans Qwen Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.080735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7ea0d4-e7fd-4d84-b4a8-52538cd4b30a · outbound

This paper cites It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization.

TPTT: Transforming Pretrained Transformers into Titans It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.116726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34188fda-ff50-4700-a33f-c50609302296 · outbound

This paper cites Titans: Learning to Memorize at Test Time.

TPTT: Transforming Pretrained Transformers into Titans Titans: Learning to Memorize at Test Time

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.170666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf8618f-a457-4dc5-ba81-59495993e7d3 · outbound

This paper cites Rethinking Attention with Performers.

TPTT: Transforming Pretrained Transformers into Titans Rethinking Attention with Performers

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.265877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f08d6e-57d1-4a3a-b9a3-2f057d6d172a · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

TPTT: Transforming Pretrained Transformers into Titans FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.454745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3572c2d4-deb6-4df9-80a8-02877e4100f9 · outbound

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

TPTT: Transforming Pretrained Transformers into Titans Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.611500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f78074-2cd3-4f7f-a3f5-d5c2d36beb0b · outbound

This paper cites Bert: Pre-training of deep bidi- rectional transformers for language understanding.

TPTT: Transforming Pretrained Transformers into Titans Bert: Pre-training of deep bidi- rectional transformers for language understanding

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:51.198763Z

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.

Observation b7c92f0a-8261-4796-be48-0e04be0fbe9d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TPTT: Transforming Pretrained Transformers into Titans An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:45.800061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9c5f75-49ee-47f1-ae70-9f44ff6dd367 · outbound

This paper cites Lora - hugging face peft documentation.

TPTT: Transforming Pretrained Transformers into Titans Lora - hugging face peft documentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:51.009732Z

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.

Observation 93e42bd2-9816-4616-ac7c-3d3444b57719 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

TPTT: Transforming Pretrained Transformers into Titans OLMo: Accelerating the Science of Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.034748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d55c19d-5ad2-4dba-bd2b-ae7be2193eee · outbound

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

TPTT: Transforming Pretrained Transformers into Titans Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.161689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16112627-729f-42ed-bf11-fb52fdf6bb03 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

TPTT: Transforming Pretrained Transformers into Titans Measuring Massive Multitask Language Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.194931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d73a785d-e3d5-41d3-acdf-c13d4e76312a · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

TPTT: Transforming Pretrained Transformers into Titans Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.355340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c76ca80-4926-4925-a5b0-0df37af3383e · outbound

This paper cites Jiang and all Mistral team.

TPTT: Transforming Pretrained Transformers into Titans Jiang and all Mistral team

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:50.786556Z

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.

Observation a9882323-0095-4026-949c-8c7e9223a4a9 · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

TPTT: Transforming Pretrained Transformers into Titans Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:50.590682Z

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.

Observation cc375e24-1f4e-4dbb-818b-8f96341d2f05 · outbound

This paper cites Liger: Linearizing Large Language Models to Gated Recurrent Structures.

TPTT: Transforming Pretrained Transformers into Titans Liger: Linearizing Large Language Models to Gated Recurrent Structures

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.813241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e1bf545-039e-4d5c-a465-f7183bd2a320 · outbound

This paper cites Language Models are Few-Shot Learners.

TPTT: Transforming Pretrained Transformers into Titans Language Models are Few-Shot Learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:46.956734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72fc9516-f739-4581-990c-54f71b667efe · outbound

This paper cites Openelm: An efficient language model family with open-source training and inference framework.arXiv e-prints, pages arXiv–2404, 2024.

TPTT: Transforming Pretrained Transformers into Titans Openelm: An efficient language model family with open-source training and inference framework.arXiv e-prints, pages arXiv–2404, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:50.424664Z

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.

Observation 40e04140-7b47-419f-b80c-d557b484fde3 · outbound

This paper cites Linearizing Large Language Models.

TPTT: Transforming Pretrained Transformers into Titans Linearizing Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.210623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e10e554-38d7-4b63-9a61-215e768e025a · outbound

This paper cites The Illusion of State in State-Space Models.

TPTT: Transforming Pretrained Transformers into Titans The Illusion of State in State-Space Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.274822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa28aaa-37c5-4746-a0ed-4a4ef2921bcb · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

TPTT: Transforming Pretrained Transformers into Titans OLMoE: Open Mixture-of-Experts Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.387361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 100ac0ea-d60b-4b96-9712-1da2ac80d36c · outbound

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

TPTT: Transforming Pretrained Transformers into Titans RWKV: Reinventing RNNs for the Transformer Era

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.534750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33f593a6-e103-4ee4-9028-e23b41f95325 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

TPTT: Transforming Pretrained Transformers into Titans DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.659435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1170e07-3796-401a-8362-58fd1fed7b57 · outbound

This paper cites Deltaproduct: Improving state-tracking in linear rnns via householder products.

TPTT: Transforming Pretrained Transformers into Titans Deltaproduct: Improving state-tracking in linear rnns via householder products

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:47.823694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d48bbe81-7b06-4aec-9d20-71c12f50bf49 · outbound

This paper cites Alpaca: A strong, replicable instruction-following model.Stanford Center for Research on Foundation Models.

TPTT: Transforming Pretrained Transformers into Titans Alpaca: A strong, replicable instruction-following model.Stanford Center for Research on Foundation Models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:34:50.187128Z

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.

Observation dd9da59a-d08b-40c6-8004-d8d7967abfa8 · outbound

This paper cites Gemma 3 Technical Report.

TPTT: Transforming Pretrained Transformers into Titans Gemma 3 Technical Report

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.045442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da556d34-e987-43df-9601-931953106965 · outbound

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

TPTT: Transforming Pretrained Transformers into Titans LLaMA: Open and Efficient Foundation Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.149039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a99ca83-3241-4da8-8e03-ded4c01afcb9 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems , 30, 2017.

TPTT: Transforming Pretrained Transformers into Titans Attention is all you need.Advances in neural information processing systems , 30, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.337710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74404f03-18cf-4dd9-bf45-ed16d4537a4e · outbound

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

TPTT: Transforming Pretrained Transformers into Titans Linformer: Self-Attention with Linear Complexity

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.427452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1eccb2-dc13-48c8-b255-08e6364afbe2 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

TPTT: Transforming Pretrained Transformers into Titans Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.547568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df9f8a2d-516a-4340-833a-e8c274bb271a · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

TPTT: Transforming Pretrained Transformers into Titans Dream 7B: Diffusion Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.663768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96bf899d-d7ca-43ea-b338-d469d97cd370 · outbound

This paper cites LoLCATs: On Low-Rank Linearizing of Large Language Models.

TPTT: Transforming Pretrained Transformers into Titans LoLCATs: On Low-Rank Linearizing of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:48.726772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a810ea4f-6889-4f42-ae02-17d8861ab7a7 · inbound

Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation cites this paper.

Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation TPTT: Transforming Pretrained Transformers into Titans

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T23:43:51.239271Z

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.

Observation 47d1460d-280d-4d5f-b7a2-e32be4c589f4 · inbound

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift cites this paper.

Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift TPTT: Transforming Pretrained Transformers into Titans

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T14:02:35.245972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.