Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-12T05:06:54.598357Z
Paper Citation Record · LEDGER
Continuous Latent Contexts Enable Efficient Online Learning in Transformers
As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2605.09867.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T01:44:29.514728Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
22 of 22 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved3
- parse uncertain0
- malformed identifier1
- metadata mismatch4
External citation measurements
0
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 1f4f1a9f-cf24-42ca-86ed-73f87021d0ce · outbound
This paper cites Emile Anand and Ishani Karmarkar.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Emile Anand and Ishani Karmarkar
Reference 1
- Resolution
- verified exact
- doi, observed 2026-05-12T05:11:23.744076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f6a387a-5972-444b-ad9e-d0e0bd7ea9f1 · outbound
This paper cites Theoretical limitations of multi-layer Transformer.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Theoretical limitations of multi-layer Transformer
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:41:23.574147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6d8ce5da-c51a-4d4f-b431-965b0f1b731b · outbound
This paper cites Interpretable user satisfaction estimation for conversational systems with large language models.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Interpretable user satisfaction estimation for conversational systems with large language models
Reference 3
- Resolution
- metadata mismatch
- doi, observed 2026-05-12T05:11:23.736297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bc11aeb0-7acd-495b-81af-ca10cf3919e7 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T05:41:23.551068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 72b10013-0890-4868-89c1-b83426bcb7a2 · outbound
This paper cites Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:41:23.567739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 61f5c290-2f3e-4151-8f8b-fe5f9bcbaaf4 · outbound
This paper cites Our dataset comprises of 3000 sequences, where each sequence length comprises of steps of length 100.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Our dataset comprises of 3000 sequences, where each sequence length comprises of steps of length 100
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.344671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9f5da311-abb6-4fa2-a3a2-efb6a96e9f86 · outbound
This paper cites an unresolved cited work.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T12:16:34.303499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 34cdc21c-0cd0-4896-80e4-520266b53c80 · outbound
This paper cites Specifically, for 1≤i≤10 , it trains on sequences truncated to 5i steps, and for 11≤i≤13 , it trains on sequences It trains on sequences truncated to 50 + 15(i−10) steps.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Specifically, for 1≤i≤10 , it trains on sequences truncated to 5i steps, and for 11≤i≤13 , it trains on sequences It trains on sequences truncated to 50 + 15(i−10) steps
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.336625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bcc4e045-f077-4905-80c6-c44fce592756 · outbound
This paper cites an unresolved cited work.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T12:16:34.370717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9b632810-2c64-46fd-8096-901e6d9d82e1 · outbound
This paper cites an unresolved cited work.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-12T12:16:34.358795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c7727cbf-1d95-42f6-8a86-b41375214850 · outbound
This paper cites c|A| are prepended to each step’s discrete token sequence: [BOS, c1.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers c|A| are prepended to each step’s discrete token sequence: [BOS, c1
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.331439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ba7369c3-2c39-479a-b0a3-902479875984 · outbound
This paper cites Each episode samples nS ∼ U({2.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Each episode samples nS ∼ U({2
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.383025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 49bb8a29-2891-4f1e-b12c-13c33f52c0b9 · outbound
This paper cites Curriculum is overaction count: training is split into 3 stages, each introducing one larger nA.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers Curriculum is overaction count: training is split into 3 stages, each introducing one larger nA
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.308110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation be308671-7387-445c-b5a9-21b437774710 · outbound
This paper cites sunny” or “rainy.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers sunny” or “rainy
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.294130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 668cc18a-2fc9-41cc-b696-5fde5091e845 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.298912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b09cc7a7-41b8-4ed0-a001-2677ccbc4c19 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.314167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 261dc552-8363-4b8a-856c-3860b32bd9d7 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.324640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f648a22a-370f-4f35-82a5-96a3c34b8ea4 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.349425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c0eff7a4-c9d3-4842-a590-52be3101d249 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.378805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 25becc08-1d88-4afb-ad4c-8c423ce1680b · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.319603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 780c8705-d341-4415-ab2e-06b14ec64c10 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-12T12:16:34.353753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 38b75a0b-10f5-4261-bd70-8a5fda346811 · outbound
This paper cites turn_type.
Continuous Latent Contexts Enable Efficient Online Learning in Transformers turn_type
Reference 22
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-12T12:16:34.365078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
Observation 21826f62-d026-4b80-aec6-94f1cd360b78 · inbound
Role Steering of Language Models for Social Simulations cites this paper.
Role Steering of Language Models for Social Simulations Continuous Latent Contexts Enable Efficient Online Learning in Transformers
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T01:48:32.457417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.